id int64 9 582k | image stringlengths 16 16 | conversations listlengths 1 1 | answer_template stringlengths 42 1.05k | objects listlengths 0 74 | task stringclasses 1 value |
|---|---|---|---|---|---|
559,665 | 000000559665.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"umbrella\", \"teddy bear\", \"backpack\", \"cake\", \"scissors\", \"cat\", \"toaster\", \"car\", \"giraffe\", \"suitcase\", \"sink\", \"bed\", \"truck\", \"mouse\", \"hair drier\", \"person\", \"elephant\", \"... | In this image, there are 1 "backpack" (<|Obj_0|>), 3 "car" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 1 "truck" (<|Obj_4|>), 4 "person" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "motorcycle" (<|Obj_9|>), 6 "traffic light" (<|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>). | [
{
"patches": [
99,
100,
101,
102,
123,
124,
125,
146,
147,
148,
169,
170,
171
],
"bbox": [
0.343171875,
0.28753148614609575,
0.465125,
0.5633753148614611
],
"iscrowd": 0,
"area": 6096.032400... | ovd |
19,358 | 000000019358.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"hot dog\", \"cell phone\", \"dog\", \"wine glass\", \"mouse\", \"vase\", \"laptop\", \"broccoli\", \"bowl\", \"bottle\", \"train\", \"bicycle\", \"tie\", \"backpack\", \"snowboard\", \"spoon\", \"skateboard\",... | In this image, there are 2 "bowl" (<|Obj_0|>, <|Obj_1|>), 1 "bottle" (<|Obj_2|>), 1 "spoon" (<|Obj_3|>), 7 "banana" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 4 "donut" (<|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>), 1 "dining table" (<|Obj_15|>). | [
{
"patches": [
0,
1,
2,
3,
4,
5,
6,
7,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
... | ovd |
459,912 | 000000459912.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"elephant\", \"microwave\", \"fire hydrant\", \"frisbee\", \"person\", \"scissors\", \"carrot\", \"bowl\", \"bottle\", \"dog\", \"toothbrush\", \"car\", \"pizza\", \"giraffe\", \"cake\", \"snowboard\", \"clock\... | In this image, there are 14 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 13 "motorcycle" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>), 1 "umbrella" (<|Obj_27|>). | [
{
"patches": [
96,
97,
119,
120
],
"bbox": [
0.209203125,
0.2921077283372365,
0.230328125,
0.35093676814988284
],
"iscrowd": 0,
"area": 212.73920000000015,
"rle": {
"size": [
427,
640
],
"counts": "[Ph1:n<4... | ovd |
15,827 | 000000015827.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"baseball glove\", \"book\", \"toothbrush\", \"cat\", \"sandwich\", \"bottle\", \"clock\", \"snowboard\", \"bowl\", \"chair\", \"remote\", \"skis\", \"skateboard\", \"apple\", \"broccoli\", \"truck\", \"potted ... | In this image, there are 14 "motorcycle" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 12 "person" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>). | [
{
"patches": [
150,
151,
152,
165,
166,
167,
168,
180,
181,
182,
183,
195,
196,
197,
198,
210,
211,
212,
225,
226,
227,
228,
240,
241,
242,
243,
244,
... | ovd |
394,240 | 000000394240.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bottle\", \"bus\", \"tv\", \"tie\", \"baseball bat\", \"laptop\", \"cake\", \"teddy bear\", \"skateboard\", \"truck\", \"refrigerator\", \"hair drier\", \"giraffe\", \"umbrella\", \"suitcase\", \"airplane\", \... | In this image, there are 2 "bottle" (<|Obj_0|>, <|Obj_1|>), 1 "umbrella" (<|Obj_2|>), 8 "motorcycle" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 5 "person" (<|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>). | [
{
"patches": [
235,
236
],
"bbox": [
0.25662500000000005,
0.6612177985948477,
0.28290625,
0.7313817330210772
],
"iscrowd": 0,
"area": 403.40985000000046,
"rle": {
"size": [
427,
640
],
"counts": "ceT2=j<8K1O1O100J[OdCg... | ovd |
510,755 | 000000510755.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bench\", \"skateboard\", \"tennis racket\", \"scissors\", \"bus\", \"bottle\", \"handbag\", \"sports ball\", \"hair drier\", \"teddy bear\", \"umbrella\", \"tie\", \"tv\", \"chair\", \"knife\", \"bed\", \"keyb... | There are 12 "motorcycle" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>) in this image. | [
{
"patches": [
217,
218,
219,
241,
242
],
"bbox": [
0.4406875000000001,
0.5220625,
0.5566093750000001,
0.6344583333333335
],
"iscrowd": 0,
"area": 2139.6251,
"rle": {
"size": [
480,
640
],
"counts": "... | ovd |
175,831 | 000000175831.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"traffic light\", \"bear\", \"cat\", \"cake\", \"train\", \"vase\", \"oven\", \"microwave\", \"refrigerator\", \"backpack\", \"book\", \"mouse\", \"car\", \"frisbee\", \"bottle\", \"remote\", \"tv\"... | In this image, there are 3 "motorcycle" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 3 "person" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
280,
298,
299,
312,
313,
314,
315,
316,
317,
318,
330,
331,
332,
333,
334,
335,
336,
337,
348,
349,
350,
351,
352,
353,
354,
355,
366,
... | ovd |
79,472 | 000000079472.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"carrot\", \"kite\", \"clock\", \"cat\", \"giraffe\", \"bird\", \"hair drier\", \"fire hydrant\", \"airplane\", \"backpack\", \"bus\", \"dog\", \"orange\", \"elephant\", \"tie\", \"remote\", \"suitcase\", \"vas... | In this image, there are 1 "cell phone" (<|Obj_0|>), 1 "tv" (<|Obj_1|>), 1 "laptop" (<|Obj_2|>), 1 "mouse" (<|Obj_3|>). | [
{
"patches": [
103,
104,
126,
127
],
"bbox": [
0.506,
0.242952182952183,
0.533078125,
0.32968814968814963
],
"iscrowd": 0,
"area": 636.7983000000007,
"rle": {
"size": [
481,
640
],
"counts": "YZh4h0m=<N3N1O... | ovd |
250,108 | 000000250108.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bottle\", \"laptop\", \"mouse\", \"book\", \"keyboard\", \"cell phone\", \"car\", \"apple\", \"bed\", \"dog\", \"stop sign\", \"umbrella\", \"scissors\", \"cake\", \"refrigerator\", \"oven\", \"bear\", \"cup\"... | In this image, there are 2 "bottle" (<|Obj_0|>, <|Obj_1|>), 1 "laptop" (<|Obj_2|>), 1 "mouse" (<|Obj_3|>), 2 "book" (<|Obj_4|>, <|Obj_5|>), 1 "keyboard" (<|Obj_6|>), 12 "car" (<|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>), 2 "cup" (<|Obj_19|>, <|Obj_20|>). | [
{
"patches": [
204,
227,
250
],
"bbox": [
0.8703125,
0.5084199584199585,
0.9020625000000001,
0.602952182952183
],
"iscrowd": 0,
"area": 617.3027500000001,
"rle": {
"size": [
481,
640
],
"counts": "ZmU81P?1K4H9G8H... | ovd |
315,601 | 000000315601.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bus\", \"motorcycle\", \"truck\", \"sheep\", \"airplane\", \"refrigerator\", \"hair drier\", \"parking meter\", \"clock\", \"bear\", \"toilet\", \"chair\", \"bird\", \"couch\", \"cup\", \"skateboard\", \"horse... | In this image, there are 2 "bus" (<|Obj_0|>, <|Obj_1|>), 6 "motorcycle" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>), 6 "truck" (<|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 14 "car" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>, <|Obj_27|>), 9 "person" (<|Obj_28|>, <|Obj_29|>, <|Obj_30|>, <|Obj_31|>, <|Obj_32|>, <|Obj_33|>, <|Obj_34|>, <|Obj_35|>, <|Obj_36|>). | [
{
"patches": [
160,
183,
205,
206,
228,
229,
251,
252,
274,
275
],
"bbox": [
0.9473125,
0.40205188679245285,
1,
0.8037735849056604
],
"iscrowd": 0,
"area": 5130.940999999994,
"rle": {
"size": [
... | ovd |
437,218 | 000000437218.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bench\", \"hair drier\", \"oven\", \"clock\", \"toothbrush\", \"cat\", \"train\", \"cake\", \"fork\", \"toaster\", \"bear\", \"potted plant\", \"donut\", \"baseball glove\", \"parking meter\", \"bottle\", \"ho... | In this image, there are 1 "bottle" (<|Obj_0|>), 1 "tv" (<|Obj_1|>). | [
{
"patches": [
372,
373
],
"bbox": [
0.19953125000000002,
0.9460208333333333,
0.22846875000000003,
1
],
"iscrowd": 0,
"area": 356.90915000000024,
"rle": {
"size": [
480,
640
],
"counts": "g^l18d>5M2F:00O10000000000001O... | ovd |
503,707 | 000000503707.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"car\", \"motorcycle\", \"vase\", \"bottle\", \"cell phone\", \"cake\", \"teddy bear\", \"person\", \"snowboard\", \"tennis racket\", \"couch\", \"bird\", \"dining table\", \"laptop\", \"spoon\", \"sandwich\", ... | In this image, there are 1 "car" (<|Obj_0|>), 3 "motorcycle" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 3 "person" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>). | [
{
"patches": [
138,
139,
140,
141,
142,
161,
162,
163,
164,
165,
166,
184,
185,
186,
187,
188,
189,
207,
208,
209,
210,
211
],
"bbox": [
0.0028750000000000004,
... | ovd |
74,331 | 000000074331.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"banana\", \"boat\", \"zebra\", \"bowl\", \"umbrella\", \"skis\", \"baseball bat\", \"cell phone\", \"refrigerator\", \"sandwich\", \"bird\", \"oven\", \"knife\", \"teddy bear\", \"toaster\", \"motorcycle\", \"... | There are 13 "banana" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>) in this image. | [
{
"patches": [
280,
281,
293,
294,
295,
296,
308,
309,
310,
311
],
"bbox": [
0.5755737704918034,
0.8139687500000001,
0.8013583138173302,
0.9107968750000003
],
"iscrowd": 0,
"area": 5007.332649999993,
"rle... | ovd |
579,664 | 000000579664.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"book\", \"baseball bat\", \"dining table\", \"frisbee\", \"umbrella\", \"keyboard\", \"parking meter\", \"clock\", \"cake\", \"bear\", \"stop sign\", \"motorcycle\", \"bird\", \"couch\", \"tv\", \"sheep\", \"o... | There are 8 "banana" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>) in this image. | [
{
"patches": [
180,
181,
182,
183,
198,
199,
201,
202,
203,
204,
205,
206,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
242,
243,
244,
245,
246,
... | ovd |
369,763 | 000000369763.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"truck\", \"motorcycle\", \"hot dog\", \"cell phone\", \"toothbrush\", \"bird\", \"cow\", \"apple\", \"pizza\", \"baseball bat\", \"toaster\", \"wine glass\", \"horse\", \"scissors\", \"sports ball\", \"traffic... | In this image, there are 1 "truck" (<|Obj_0|>), 1 "motorcycle" (<|Obj_1|>), 2 "person" (<|Obj_2|>, <|Obj_3|>), 3 "car" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>). | [
{
"patches": [
14,
15,
16,
17,
18,
34,
35,
36,
37,
38,
39,
40,
41,
42,
57,
58,
59,
61,
62,
63,
64,
65,
80,
81,
84,
85,
86,
87,
88
],
... | ovd |
199,951 | 000000199951.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bench\", \"skis\", \"spoon\", \"baseball glove\", \"umbrella\", \"refrigerator\", \"bear\", \"stop sign\", \"toaster\", \"couch\", \"surfboard\", \"bicycle\", \"book\", \"keyboard\", \"banana\", \"toothbrush\"... | In this image, there are 1 "person" (<|Obj_0|>), 5 "car" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 1 "truck" (<|Obj_6|>), 1 "motorcycle" (<|Obj_7|>). | [
{
"patches": [
196,
197,
220
],
"bbox": [
0.5265000000000001,
0.48260416666666667,
0.5932499999999999,
0.5444583333333334
],
"iscrowd": 0,
"area": 456.69065000000006,
"rle": {
"size": [
480,
640
],
"counts": "hVn... | ovd |
452,684 | 000000452684.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"chair\", \"broccoli\", \"stop sign\", \"person\", \"surfboard\", \"suitcase\", \"umbrella\", \"bus\", \"bicycle\", \"truck\", \"car\", \"apple\", \"cake\", \"laptop\", \"kite\", \"parking meter\", \"giraffe\",... | In this image, there are 3 "orange" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 1 "bowl" (<|Obj_3|>), 1 "dining table" (<|Obj_4|>), 1 "cup" (<|Obj_5|>). | [
{
"patches": [
201,
202,
203,
223,
224,
225,
226,
227,
228,
246,
247,
248,
249,
250,
251,
269,
270,
271,
272,
273
],
"bbox": [
0.72396875,
0.5558782201405152,
0.95268... | ovd |
213,687 | 000000213687.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"motorcycle\", \"bottle\", \"bed\", \"bus\", \"keyboard\", \"sandwich\", \"bicycle\", \"broccoli\", \"umbrella\", \"banana\", \"airplane\", \"baseball glove\", \"couch\", \"scissors\", \"wine glass\", \"pizza\"... | In this image, there are 14 "motorcycle" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 3 "car" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>), 14 "person" (<|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>, <|Obj_27|>, <|Obj_28|>, <|Obj_29|>, <|Obj_30|>). | [
{
"patches": [
270,
271
],
"bbox": [
0.752765625,
0.6417745302713989,
0.79125,
0.7130062630480168
],
"iscrowd": 0,
"area": 550.9471500000001,
"rle": {
"size": [
479,
640
],
"counts": "ehQ7g0W>4K4M2O2NO100O2L3O2N2M3O1O0... | ovd |
108,094 | 000000108094.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"scissors\", \"toothbrush\", \"wine glass\", \"orange\", \"bench\", \"dog\", \"teddy bear\", \"chair\", \"sports ball\", \"tv\", \"backpack\", \"cup\", \"banana\", \"remote\", \"handbag\", \"baseball glove\", \... | In this image, there are 2 "person" (<|Obj_0|>, <|Obj_1|>), 2 "car" (<|Obj_2|>, <|Obj_3|>), 1 "motorcycle" (<|Obj_4|>). | [
{
"patches": [
190,
191,
207,
208,
224,
225,
242,
259
],
"bbox": [
0.20876857749469213,
0.49326562500000004,
0.28371549893842885,
0.6664062500000001
],
"iscrowd": 0,
"area": 1827.1266999999998,
"rle": {
"size":... | ovd |
527,040 | 000000527040.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bowl\", \"tv\", \"hot dog\", \"cell phone\", \"car\", \"skis\", \"tie\", \"bottle\", \"cake\", \"stop sign\", \"toothbrush\", \"giraffe\", \"keyboard\", \"skateboard\", \"vase\", \"bus\", \"toilet\", \"laptop\... | In this image, there are 1 "bowl" (<|Obj_0|>), 1 "cup" (<|Obj_1|>), 2 "bird" (<|Obj_2|>, <|Obj_3|>), 1 "person" (<|Obj_4|>), 3 "chair" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>), 2 "dining table" (<|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
192,
193,
194,
195,
196,
197,
198,
199,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
224,
225,
226,
227,
228,
229,
230,
... | ovd |
350,341 | 000000350341.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"fire hydrant\", \"spoon\", \"traffic light\", \"microwave\", \"surfboard\", \"horse\", \"handbag\", \"toaster\", \"sink\", \"skateboard\", \"cup\", \"elephant\", \"tennis racket\", \"hot dog\", \"bus\", \"bott... | In this image, there are 2 "dining table" (<|Obj_0|>, <|Obj_1|>), 1 "bowl" (<|Obj_2|>), 1 "person" (<|Obj_3|>), 1 "bird" (<|Obj_4|>), 3 "chair" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>). | [
{
"patches": [
6,
7,
8,
9,
10,
23,
24,
25,
26,
27,
41,
42,
43,
58,
59,
60,
75,
76,
77,
92,
93,
126,
127,
143,
144,
160,
161
],
"bbox": [
... | ovd |
550,529 | 000000550529.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"parking meter\", \"wine glass\", \"microwave\", \"airplane\", \"cup\", \"knife\", \"orange\", \"bed\", \"potted plant\", \"motorcycle\", \"cat\", \"train\", \"pizza\", \"frisbee\", \"spoon\", \"vase\", \"bird\... | In this image, there are 1 "motorcycle" (<|Obj_0|>), 14 "bottle" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>). | [
{
"patches": [
10,
11,
32,
33,
54,
76,
77,
83,
84,
96,
97,
98,
99,
103,
104,
105,
106,
107,
108,
118,
119,
120,
121,
122,
123,
124,
125,
126,
... | ovd |
432,176 | 000000432176.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"potted plant\", \"refrigerator\", \"toaster\", \"book\", \"toothbrush\", \"cell phone\", \"hair drier\", \"remote\", \"couch\", \"snowboard\", \"parking meter\", \"fork\", \"banana\", \"baseball bat\", \"cow\"... | In this image, there are 1 "potted plant" (<|Obj_0|>), 1 "bench" (<|Obj_1|>). | [
{
"patches": [
95,
96,
98,
118,
119,
121,
122,
140,
141,
142,
143,
144,
145,
146,
163,
164,
165,
166,
167,
168,
169,
186,
187,
188,
189,
190,
191,
... | ovd |
281,533 | 000000281533.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tv\", \"carrot\", \"remote\", \"broccoli\", \"sandwich\", \"suitcase\", \"knife\", \"chair\", \"hair drier\", \"potted plant\", \"microwave\", \"fork\", \"vase\", \"bench\", \"cup\", \"giraffe\", \"laptop\", \... | In this image, there are 1 "tv" (<|Obj_0|>), 2 "potted plant" (<|Obj_1|>, <|Obj_2|>), 2 "dog" (<|Obj_3|>, <|Obj_4|>). | [
{
"patches": [
6,
7,
8,
9,
10,
11,
29,
30,
31,
32,
33,
34,
35,
36,
37,
52,
53,
54,
55,
56,
57,
58,
59,
60,
75,
76,
77,
78,
79,
80,
... | ovd |
369,826 | 000000369826.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"vase\", \"remote\", \"couch\", \"tie\", \"stop sign\", \"bottle\", \"wine glass\", \"banana\", \"airplane\", \"baseball glove\", \"handbag\", \"scissors\", \"oven\", \"sandwich\", \"bear\", \"tv\", \"truck\", ... | In this image, there are 2 "tv" (<|Obj_0|>, <|Obj_1|>), 2 "chair" (<|Obj_2|>, <|Obj_3|>), 1 "person" (<|Obj_4|>). | [
{
"patches": [
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
190,
191,
192,
193,
194,
195,
196,
... | ovd |
551,334 | 000000551334.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"broccoli\", \"skis\", \"pizza\", \"teddy bear\", \"carrot\", \"sink\", \"cat\", \"toaster\", \"toilet\", \"cake\", \"knife\", \"couch\", \"remote\", \"skateboard\", \"traffic light\", \"sports ball\", \"spoon\... | In this image, there are 1 "remote" (<|Obj_0|>), 1 "cup" (<|Obj_1|>), 2 "tv" (<|Obj_2|>, <|Obj_3|>), 2 "chair" (<|Obj_4|>, <|Obj_5|>), 1 "person" (<|Obj_6|>). | [
{
"patches": [
196,
197,
198
],
"bbox": [
0.542140625,
0.5137916666666668,
0.623265625,
0.5317083333333333
],
"iscrowd": 0,
"area": 214.09114999999983,
"rle": {
"size": [
480,
640
],
"counts": "hlR54l>1N100000000... | ovd |
291,380 | 000000291380.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tv\", \"backpack\", \"person\", \"bus\", \"zebra\", \"bowl\", \"sheep\", \"hot dog\", \"sports ball\", \"skis\", \"skateboard\", \"snowboard\", \"refrigerator\", \"teddy bear\", \"fire hydrant\", \"fork\", \"c... | In this image, there are 1 "tv" (<|Obj_0|>), 1 "backpack" (<|Obj_1|>), 1 "person" (<|Obj_2|>), 1 "chair" (<|Obj_3|>). | [
{
"patches": [
112,
113,
114,
130,
131,
132,
148,
149
],
"bbox": [
0.23781999999999998,
0.49136,
0.35703999999999997,
0.6327733333333333
],
"iscrowd": 0,
"area": 2639.36235,
"rle": {
"size": [
375,
... | ovd |
368,978 | 000000368978.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"dining table\", \"hair drier\", \"clock\", \"cake\", \"pizza\", \"tie\", \"umbrella\", \"chair\", \"bench\", \"traffic light\", \"airplane\", \"horse\", \"surfboard\", \"boat\", \"donut\", \"truck\", \"oven\",... | There is 1 "airplane" (<|Obj_0|>) in this image. | [
{
"patches": [
109,
110,
127,
128,
129,
130,
131,
132,
133,
134,
135,
150,
151,
152,
153,
154,
155,
156,
157
],
"bbox": [
0.5204062500000001,
0.24109053497942387,
0.8910937... | ovd |
77,123 | 000000077123.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"laptop\", \"teddy bear\", \"donut\", \"tennis racket\", \"cell phone\", \"mouse\", \"bird\", \"snowboard\", \"tie\", \"vase\", \"sports ball\", \"cake\", \"orange\", \"oven\", \"bowl\", \"stop sign\", \"frisbe... | In this image, there are 1 "truck" (<|Obj_0|>), 1 "airplane" (<|Obj_1|>). | [
{
"patches": [
196,
197,
198,
199,
200,
218,
219,
220,
221,
222,
223,
241,
242,
243,
244,
245,
266,
267,
268
],
"bbox": [
0.5019375,
0.4875416666666667,
0.71859375,
0... | ovd |
513,681 | 000000513681.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"truck\", \"airplane\", \"scissors\", \"toothbrush\", \"book\", \"cat\", \"keyboard\", \"traffic light\", \"zebra\", \"cell phone\", \"boat\", \"cow\", \"oven\", \"cake\", \"pizza\", \"skateboard\", \"wine glas... | In this image, there are 5 "truck" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 4 "airplane" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 4 "person" (<|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>). | [
{
"patches": [
98,
99,
121
],
"bbox": [
0.26951562500000004,
0.2605330490405117,
0.32946875000000003,
0.3004904051172708
],
"iscrowd": 0,
"area": 511.5600000000002,
"rle": {
"size": [
469,
640
],
"counts": "ml^21... | ovd |
437,370 | 000000437370.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"teddy bear\", \"frisbee\", \"truck\", \"clock\", \"traffic light\", \"bench\", \"zebra\", \"stop sign\", \"cell phone\", \"bus\", \"banana\", \"car\", \"dining table\", \"book\", \"bear\", \"microwave\", \"tie... | In this image, there are 1 "person" (<|Obj_0|>), 1 "airplane" (<|Obj_1|>). | [
{
"patches": [
108,
131
],
"bbox": [
0.6932187500000001,
0.26658079625292735,
0.7317343750000002,
0.3979391100702577
],
"iscrowd": 0,
"area": 340.64605000000057,
"rle": {
"size": [
427,
640
],
"counts": "VXi53X=3N2N;E4... | ovd |
78,371 | 000000078371.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"airplane\", \"carrot\", \"snowboard\", \"teddy bear\", \"parking meter\", \"pizza\", \"baseball glove\", \"toaster\", \"apple\", \"baseball bat\", \"hair drier\", \"car\", \"traffic light\", \"truck\", \"train... | There is 1 "airplane" (<|Obj_0|>) in this image. | [
{
"patches": [
9,
10,
26,
27,
44,
45,
61,
62,
63,
79,
80,
81,
96,
97,
98,
99,
112,
113,
114,
115,
116,
117,
128,
129,
130,
131,
132,
133,
... | ovd |
560,623 | 000000560623.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"cup\", \"carrot\", \"cell phone\", \"tie\", \"boat\", \"baseball glove\", \"kite\", \"broccoli\", \"umbrella\", \"potted plant\", \"apple\", \"bowl\", \"couch\", \"backpack\", \"traffic light\", \"bird\", \"bu... | In this image, there are 3 "truck" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 5 "airplane" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>). | [
{
"patches": [
149,
150,
151,
172,
173,
174
],
"bbox": [
0.48984375,
0.49352777777777773,
0.5913906250000001,
0.6040833333333332
],
"iscrowd": 0,
"area": 1799.9901500000005,
"rle": {
"size": [
360,
640
... | ovd |
289,173 | 000000289173.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sports ball\", \"mouse\", \"cup\", \"truck\", \"pizza\", \"bird\", \"horse\", \"scissors\", \"microwave\", \"knife\", \"sheep\", \"couch\", \"sink\", \"refrigerator\", \"apple\", \"sandwich\", \"frisbee\", \"b... | In this image, there are 4 "truck" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 2 "person" (<|Obj_4|>, <|Obj_5|>), 5 "airplane" (<|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>). | [
{
"patches": [
130,
131,
132
],
"bbox": [
0.676765625,
0.3823333333333333,
0.76003125,
0.4302222222222222
],
"iscrowd": 0,
"area": 727.0416500000002,
"rle": {
"size": [
360,
640
],
"counts": "l[h44P;4M4O1O000O100... | ovd |
52,759 | 000000052759.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"airplane\", \"toaster\", \"dining table\", \"skis\", \"toilet\", \"mouse\", \"umbrella\", \"fire hydrant\", \"donut\", \"sports ball\", \"sandwich\", \"backpack\", \"traffic light\", \"truck\", \"book\", \"ora... | In this image, there are 4 "airplane" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 4 "truck" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>), 2 "person" (<|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
57,
78,
79,
80,
81,
95,
96,
97,
98,
99,
102,
103,
104,
108,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
147,
148,... | ovd |
568,623 | 000000568623.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"keyboard\", \"book\", \"couch\", \"umbrella\", \"sports ball\", \"toothbrush\", \"cow\", \"baseball glove\", \"wine glass\", \"sink\", \"stop sign\", \"orange\", \"giraffe\", \"bottle\", \"remote\"... | In this image, there are 3 "traffic light" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 2 "bench" (<|Obj_3|>, <|Obj_4|>), 2 "bus" (<|Obj_5|>, <|Obj_6|>), 4 "backpack" (<|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 1 "cell phone" (<|Obj_11|>), 3 "handbag" (<|Obj_12|>, <|Obj_13|>, <|Obj_14|>), 12 "person" (<|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>). | [
{
"patches": [
25
],
"bbox": [
0.1078125,
0.06754807692307692,
0.12584375,
0.11151442307692307
],
"iscrowd": 0,
"area": 162.82185000000004,
"rle": {
"size": [
416,
640
],
"counts": "lQl0a0_<0000001O01DbCO1N]<3bCO1N^<2aC10M_<... | ovd |
128,939 | 000000128939.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"car\", \"couch\", \"vase\", \"fire hydrant\", \"remote\", \"toilet\", \"potted plant\", \"zebra\", \"donut\", \"orange\", \"hot dog\", \"motorcycle\", \"sink\", \"wine glass\", \"toaster\", \"broccoli\", \"din... | In this image, there are 4 "car" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 4 "person" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>), 2 "traffic light" (<|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
187,
188,
189,
190,
204,
205,
206,
207,
208,
209,
210,
221,
222,
223,
224,
225,
226,
227,
228,
229,
238,
239,
240,
241,
242,
243,
244,
... | ovd |
339,974 | 000000339974.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"skis\", \"sink\", \"person\", \"tennis racket\", \"mouse\", \"elephant\", \"fire hydrant\", \"teddy bear\", \"handbag\", \"wine glass\", \"cell phone\", \"hot dog\", \"sandwich\", \"skateboard\", \"traffic lig... | In this image, there are 2 "traffic light" (<|Obj_0|>, <|Obj_1|>), 2 "car" (<|Obj_2|>, <|Obj_3|>). | [
{
"patches": [
8,
9,
21,
22,
23,
24,
36,
37,
38,
39,
52,
53,
54,
55,
67,
68,
69,
70,
82,
83,
84,
85,
97,
98,
99,
100,
112,
113,
114,
... | ovd |
561,100 | 000000561100.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"oven\", \"umbrella\", \"car\", \"sheep\", \"horse\", \"clock\", \"dining table\", \"bus\", \"laptop\", \"parking meter\", \"chair\", \"skis\", \"stop sign\", \"sports ball\", \"bench\", \"mouse\", \"handbag\",... | There is 1 "airplane" (<|Obj_0|>) in this image. | [
{
"patches": [
39,
40,
61,
62,
63,
81,
82,
83,
84,
85,
86,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
123,
124,
125,
126,
127,
128,
... | ovd |
150,410 | 000000150410.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"dog\", \"bowl\", \"cup\", \"truck\", \"apple\", \"microwave\", \"tennis racket\", \"dining table\", \"backpack\", \"surfboard\", \"chair\", \"vase\", \"toilet\", \"toaster\", \"zebra\", \"cat\", \"baseball bat... | In this image, there are 1 "truck" (<|Obj_0|>), 1 "person" (<|Obj_1|>), 1 "airplane" (<|Obj_2|>). | [
{
"patches": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
3... | ovd |
9,426 | 000000009426.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"mouse\", \"parking meter\", \"sheep\", \"book\", \"carrot\", \"airplane\", \"vase\", \"teddy bear\", \"backpack\", \"refrigerator\", \"skateboard\", \"truck\", \"snowboard\", \"bowl\", \"fork\", \"toothbrush\"... | There is 1 "airplane" (<|Obj_0|>) in this image. | [
{
"patches": [
43,
44,
45,
63,
64,
65,
66,
67,
68,
82,
83,
84,
85,
86,
87,
88,
89,
102,
103,
104,
105,
106,
107,
108,
109,
110,
121,
122,
... | ovd |
14,869 | 000000014869.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"car\", \"vase\", \"mouse\", \"carrot\", \"broccoli\", \"kite\", \"handbag\", \"giraffe\", \"snowboard\", \"skateboard\", \"tv\", \"knife\", \"hot dog\", \"cake\", \"hair drier\", \"baseball glove\", \"horse\",... | There is 1 "bench" (<|Obj_0|>) in this image. | [
{
"patches": [
193,
194,
195,
196,
197,
216,
217,
218,
219,
220,
221,
222,
223,
238,
239,
240,
241,
242,
243,
244,
245,
246,
261,
262,
263,
264,
265,
... | ovd |
281,221 | 000000281221.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"airplane\", \"apple\", \"backpack\", \"baseball bat\", \"refrigerator\", \"bear\", \"hair drier\", \"dog\", \"toothbrush\", \"suitcase\", \"skateboard\", \"orange\", \"bottle\", \"hot dog\", \"elephant\", \"ki... | There is 1 "giraffe" (<|Obj_0|>) in this image. | [
{
"patches": [
81,
82,
104,
105,
128,
129,
151,
152,
153,
174,
175,
176,
177,
198,
199,
200,
201,
221,
222,
223,
224,
244,
245,
246,
247,
248,
266,
... | ovd |
108,169 | 000000108169.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"snowboard\", \"bottle\", \"person\", \"bench\", \"mouse\", \"zebra\", \"surfboard\", \"apple\", \"skateboard\", \"motorcycle\", \"fire hydrant\", \"oven\", \"laptop\", \"boat\", \"parking meter\", \"umbrella\"... | No objects from the list are present in the image. | [] | ovd |
440,575 | 000000440575.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"train\", \"cup\", \"stop sign\", \"kite\", \"toaster\", \"boat\", \"motorcycle\", \"car\", \"cell phone\", \"carrot\", \"bus\", \"scissors\", \"fork\", \"remote\", \"bowl\", \"tennis racket\", \"dining table\"... | There is 1 "airplane" (<|Obj_0|>) in this image. | [
{
"patches": [
60,
61,
84,
85,
86,
87,
88,
109,
110,
111,
112
],
"bbox": [
0.6335468750000001,
0.1632038834951456,
0.8874843750000001,
0.29199029126213594
],
"iscrowd": 0,
"area": 3429.913999999999,
... | ovd |
354,533 | 000000354533.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sheep\", \"person\", \"motorcycle\", \"potted plant\", \"toothbrush\", \"sink\", \"cake\", \"vase\", \"baseball bat\", \"cow\", \"stop sign\", \"spoon\", \"bench\", \"sports ball\", \"bear\", \"elephant\", \"d... | In this image, there are 12 "sheep" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>), 7 "person" (<|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>), 1 "motorcycle" (<|Obj_19|>). | [
{
"patches": [
105,
106
],
"bbox": [
0.5768125000000001,
0.3985161290322581,
0.6277500000000001,
0.46654838709677415
],
"iscrowd": 0,
"area": 436.40085,
"rle": {
"size": [
310,
640
],
"counts": "hj_32c92N2N3L021N2O2N00... | ovd |
545,959 | 000000545959.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sheep\", \"horse\", \"wine glass\", \"fork\", \"sink\", \"bed\", \"keyboard\", \"pizza\", \"scissors\", \"book\", \"umbrella\", \"cake\", \"donut\", \"clock\", \"hot dog\", \"zebra\", \"kite\", \"cat\", \"spor... | In this image, there are 9 "sheep" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "bird" (<|Obj_9|>), 10 "cow" (<|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>). | [
{
"patches": [
334,
335
],
"bbox": [
0.5267968749999999,
0.8472083333333335,
0.5737187499999999,
0.8905208333333335
],
"iscrowd": 0,
"area": 397.2079500000004,
"rle": {
"size": [
480,
640
],
"counts": "Vkn43a>3dAM[>=O1... | ovd |
511,058 | 000000511058.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tie\", \"bicycle\", \"potted plant\", \"bottle\", \"pizza\", \"giraffe\", \"kite\", \"bench\", \"keyboard\", \"banana\", \"traffic light\", \"microwave\", \"zebra\", \"apple\", \"refrigerator\", \"cell phone\"... | There is 1 "giraffe" (<|Obj_0|>) in this image. | [
{
"patches": [
28,
29,
50,
51,
52,
53,
73,
74,
75,
76,
77,
78,
79,
80,
96,
97,
98,
99,
100,
101,
102,
103,
104,
120,
121,
122,
123,
124,
1... | ovd |
91,227 | 000000091227.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bed\", \"mouse\", \"microwave\", \"suitcase\", \"traffic light\", \"boat\", \"tv\", \"giraffe\", \"dog\", \"horse\", \"sandwich\", \"dining table\", \"bowl\", \"airplane\", \"laptop\", \"snowboard\", \"bicycle... | There is 1 "giraffe" (<|Obj_0|>) in this image. | [
{
"patches": [
78,
79,
99,
100,
101,
102,
103,
122,
123,
124,
125,
126,
144,
145,
146,
147,
148,
149,
150,
166,
167,
168,
169,
170,
171,
172,
173,
... | ovd |
242,139 | 000000242139.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"zebra\", \"fork\", \"dining table\", \"frisbee\", \"tie\", \"clock\", \"wine glass\", \"cell phone\", \"fire hydrant\", \"sink\", \"donut\", \"skis\", \"laptop\", \"apple\", \"skateboard\", \"dog\", \"bed\", \... | In this image, there are 11 "car" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 2 "traffic light" (<|Obj_11|>, <|Obj_12|>), 3 "person" (<|Obj_13|>, <|Obj_14|>, <|Obj_15|>). | [
{
"patches": [
341,
342,
343,
344,
358,
359,
360,
361
],
"bbox": [
0.05875,
0.8810625000000001,
0.246875,
0.9490625000000001
],
"iscrowd": 0,
"area": 2930.9896499999995,
"rle": {
"size": [
640,
... | ovd |
334,321 | 000000334321.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"handbag\", \"microwave\", \"sink\", \"horse\", \"surfboard\", \"vase\", \"baseball glove\", \"umbrella\", \"laptop\", \"motorcycle\", \"knife\", \"snowboard\", \"sandwich\", \"bottle\", \"elephant\... | In this image, there are 5 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 1 "handbag" (<|Obj_5|>), 1 "backpack" (<|Obj_6|>), 1 "dog" (<|Obj_7|>), 2 "bench" (<|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
6,
7,
29,
30,
51,
52,
53,
54,
75,
76,
77,
78,
99,
100,
101,
102
],
"bbox": [
0.24478125,
0.05280555555555556,
0.464109375,
0.3908333333333333
],
"iscrowd": 0,
... | ovd |
381,021 | 000000381021.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"truck\", \"traffic light\", \"book\", \"bowl\", \"cell phone\", \"fork\", \"giraffe\", \"donut\", \"parking meter\", \"tennis racket\", \"vase\", \"pizza\", \"tie\", \"bus\", \"dining table\", \"hair drier\", ... | In this image, there are 2 "truck" (<|Obj_0|>, <|Obj_1|>), 2 "traffic light" (<|Obj_2|>, <|Obj_3|>), 1 "bus" (<|Obj_4|>), 4 "person" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 5 "car" (<|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 1 "bicycle" (<|Obj_14|>), 1 "potted plant" (<|Obj_15|>). | [
{
"patches": [
138,
139,
154,
155,
156,
171,
172,
173,
188,
189,
190
],
"bbox": [
0.08718487394957983,
0.35518750000000004,
0.19359243697478992,
0.509796875
],
"iscrowd": 0,
"area": 3555.8442500000006,
... | ovd |
170,629 | 000000170629.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"train\", \"vase\", \"motorcycle\", \"potted plant\", \"tie\", \"couch\", \"skis\", \"cake\", \"bowl\", \"carrot\", \"cow\", \"clock\", \"bear\", \"mouse\", \"baseball glove\", \"wine glass\", \"book\", \"giraf... | In this image, there are 11 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 1 "bus" (<|Obj_11|>). | [
{
"patches": [
139,
140,
162,
163,
185,
186,
207,
208,
209,
210,
231,
232,
233,
254,
255,
277,
278,
300,
301
],
"bbox": [
0.03615625,
0.4508352668213457,
0.14440625,
... | ovd |
207,797 | 000000207797.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bear\", \"spoon\", \"truck\", \"surfboard\", \"fork\", \"scissors\", \"bus\", \"teddy bear\", \"motorcycle\", \"bed\", \"train\", \"cow\", \"tennis racket\", \"baseball bat\", \"dog\", \"remote\", \"toaster\",... | There is 1 "giraffe" (<|Obj_0|>) in this image. | [
{
"patches": [
124,
125,
126,
147,
148,
149,
171,
172,
173,
195,
196,
218,
219,
220,
241,
242,
243,
244,
265,
266,
267,
268,
288,
289,
290,
291,
292,
... | ovd |
179,558 | 000000179558.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"giraffe\", \"spoon\", \"handbag\", \"vase\", \"sheep\", \"knife\", \"cell phone\", \"fire hydrant\", \"hair drier\", \"bottle\", \"donut\", \"suitcase\", \"teddy bear\", \"refrigerator\", \"hot dog\", \"brocco... | There are 2 "giraffe" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
131,
132,
133,
154,
155,
156,
175,
176,
177,
178,
179,
198,
199,
200,
201,
202,
203,
204,
219,
220,
221,
222,
223,
224,
225,
226,
227,
... | ovd |
368,117 | 000000368117.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"traffic light\", \"potted plant\", \"broccoli\", \"person\", \"banana\", \"skateboard\", \"toaster\", \"donut\", \"pizza\", \"tennis racket\", \"remote\", \"sink\", \"toothbrush\", \"bear\", \"airplane\", \"cl... | There are 2 "traffic light" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
82,
83,
104,
105,
106,
107,
108,
127,
128,
129,
130,
131,
150,
151,
152,
153,
154,
173,
174,
175,
176,
177,
196,
197,
198,
199,
200,
... | ovd |
15,085 | 000000015085.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"teddy bear\", \"stop sign\", \"cake\", \"person\", \"baseball glove\", \"microwave\", \"couch\", \"frisbee\", \"pizza\", \"sheep\", \"bus\", \"keyboard\", \"fork\", \"spoon\", \"sports ball\", \"orange\", \"to... | There are 5 "giraffe" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>) in this image. | [
{
"patches": [
126,
127,
128,
148,
149,
150,
151,
152,
171,
172,
173,
174,
175,
193,
194,
195,
197,
216,
217,
218,
219,
220
],
"bbox": [
0.40567187500000007,
0.... | ovd |
467,522 | 000000467522.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"snowboard\", \"bus\", \"tv\", \"pizza\", \"cake\", \"toothbrush\", \"bear\", \"dining table\", \"carrot\", \"dog\", \"bottle\", \"fork\", \"stop sign\", \"boat\", \"train\", \"scissors\", \"sheep\", \"sports b... | There are 4 "giraffe" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>) in this image. | [
{
"patches": [
189,
190,
211,
212,
232,
233,
253,
254,
275,
276,
298,
320
],
"bbox": [
0.50640522875817,
0.38506535947712417,
0.6573366013071896,
0.6733006535947712
],
"iscrowd": 0,
"area": 4125.2... | ovd |
40,102 | 000000040102.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"airplane\", \"umbrella\", \"bear\", \"bottle\", \"potted plant\", \"remote\", \"microwave\", \"tie\", \"hair drier\", \"clock\", \"laptop\", \"truck\", \"backpack\", \"pizza\", \"bird\", \"handbag\", \"scissor... | There are 2 "giraffe" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
97,
98,
113,
114,
115,
116,
129,
130,
131,
145,
146,
147,
148,
161,
162,
163,
164,
176,
177,
178,
179,
180,
192,
193,
194,
195,
196,
... | ovd |
403,020 | 000000403020.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"giraffe\", \"kite\", \"pizza\", \"motorcycle\", \"baseball bat\", \"snowboard\", \"toilet\", \"cow\", \"person\", \"microwave\", \"elephant\", \"cat\", \"surfboard\", \"frisbee\", \"oven\", \"train\", \"bear\"... | There are 2 "giraffe" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
97,
98,
110,
111,
112,
122,
123,
124,
125,
126,
135,
136,
137,
147,
148,
149,
159,
160,
161,
162,
171,
172,
173,
174,
175,
184,
185,
... | ovd |
6,005 | 000000006005.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"handbag\", \"surfboard\", \"bowl\", \"pizza\", \"tennis racket\", \"microwave\", \"zebra\", \"sandwich\", \"cow\", \"stop sign\", \"parking meter\", \"motorcycle\", \"baseball bat\", \"scissors\", ... | In this image, there are 2 "person" (<|Obj_0|>, <|Obj_1|>), 4 "giraffe" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
3,
26,
27,
49,
50,
72,
73
],
"bbox": [
0.14253125,
0.047484407484407486,
0.1915,
0.2002910602910603
],
"iscrowd": 0,
"area": 1280.0115500000002,
"rle": {
"size": [
481,
640
],
... | ovd |
219,514 | 000000219514.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"traffic light\", \"giraffe\", \"bench\", \"clock\", \"cat\", \"chair\", \"tie\", \"baseball glove\", \"dining table\", \"mouse\", \"backpack\", \"refrigerator\", \"fork\", \"donut\", \"bus\", \"vase\", \"bowl\... | In this image, there are 1 "traffic light" (<|Obj_0|>), 1 "truck" (<|Obj_1|>). | [
{
"patches": [
6,
7,
24,
25,
26,
27,
42,
43,
44,
45,
60,
61,
62,
63,
78,
79,
80,
81
],
"bbox": [
0.34087999999999996,
0.02985,
0.52808,
0.36235
],
"iscrowd": 0,
... | ovd |
521,634 | 000000521634.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"snowboard\", \"scissors\", \"sink\", \"kite\", \"book\", \"person\", \"train\", \"laptop\", \"cat\", \"skis\", \"bench\", \"suitcase\", \"handbag\", \"parking meter\", \"frisbee\", \"remote\", \"mouse\", \"umb... | There are 2 "traffic light" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
19,
20,
21,
22,
23,
36,
37,
38,
39,
40,
53,
54,
55,
56,
57,
58,
70,
71,
72,
73,
74,
75,
87,
88,
89,
90,
91,
104,
105,
... | ovd |
125,476 | 000000125476.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"fire hydrant\", \"bicycle\", \"skis\", \"bench\", \"dog\", \"parking meter\", \"suitcase\", \"skateboard\", \"wine glass\", \"cup\", \"baseball bat\", \"donut\", \"knife\", \"pizza\", \"cat\", \"surfboard\", \... | In this image, there are 1 "bench" (<|Obj_0|>), 2 "potted plant" (<|Obj_1|>, <|Obj_2|>). | [
{
"patches": [
74,
75,
76,
77,
78,
79,
80,
81,
97,
98,
99,
100,
101,
102,
103,
104,
120,
121,
122,
123,
124,
125,
126,
127,
144,
145,
146,
147,
... | ovd |
402,559 | 000000402559.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"parking meter\", \"horse\", \"motorcycle\", \"surfboard\", \"snowboard\", \"train\", \"chair\", \"boat\", \"person\", \"zebra\", \"book\", \"microwave\", \"tv\", \"stop sign\", \"baseball bat\", \"suitcase\", ... | There is 1 "giraffe" (<|Obj_0|>) in this image. | [
{
"patches": [
48,
61,
62,
73,
74,
75,
76,
86,
87,
88,
89,
99,
100,
112,
113,
125,
126,
138,
139,
140,
151,
152,
153,
154,
163,
164,
165,
166,
... | ovd |
484,816 | 000000484816.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bus\", \"potted plant\", \"remote\", \"bench\", \"banana\", \"broccoli\", \"bottle\", \"stop sign\", \"mouse\", \"frisbee\", \"spoon\", \"elephant\", \"carrot\", \"kite\", \"handbag\", \"toothbrush\", \"vase\"... | There is 1 "bus" (<|Obj_0|>) in this image. | [
{
"patches": [
45,
67,
68,
73,
74,
90,
91,
96,
97,
98,
99,
112,
113,
114,
119,
120,
121,
122,
123,
135,
136,
137,
142,
143,
144,
145,
146,
157,
... | ovd |
165,547 | 000000165547.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"vase\", \"bench\", \"chair\", \"couch\", \"elephant\", \"toothbrush\", \"toilet\", \"umbrella\", \"pizza\", \"handbag\", \"sports ball\", \"broccoli\", \"wine glass\", \"book\", \"bed\", \"donut\", \"mouse\", ... | In this image, there are 1 "vase" (<|Obj_0|>), 1 "bench" (<|Obj_1|>), 3 "chair" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 1 "book" (<|Obj_5|>), 1 "dining table" (<|Obj_6|>), 2 "bottle" (<|Obj_7|>, <|Obj_8|>). | [
{
"patches": [
148,
149,
166,
167
],
"bbox": [
0.2436,
0.6451630434782608,
0.28968,
0.7400271739130434
],
"iscrowd": 0,
"area": 742.3884000000003,
"rle": {
"size": [
368,
500
],
"counts": "]R\\1>S;b0]O2N000... | ovd |
81,561 | 000000081561.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"traffic light\", \"person\", \"baseball glove\", \"knife\", \"kite\", \"potted plant\", \"bed\", \"bus\", \"suitcase\", \"sheep\", \"wine glass\", \"skis\", \"cup\", \"teddy bear\", \"bottle\", \"book\", \"mou... | There are 2 "traffic light" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
69,
70,
71,
72,
84,
85,
86,
87,
88,
99,
100,
101,
102,
103,
114,
115,
116,
117,
118,
129,
130,
131,
132,
133,
144,
145,
146,
147,... | ovd |
227,125 | 000000227125.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"clock\", \"keyboard\", \"horse\", \"dog\", \"surfboard\", \"bottle\", \"potted plant\", \"cake\", \"bicycle\", \"tie\", \"sheep\", \"bowl\", \"book\", \"tv\", \"remote\", \"toothbrush\", \"cell phone\", \"fris... | There is 1 "traffic light" (<|Obj_0|>) in this image. | [
{
"patches": [
4,
5,
6,
7,
9,
16,
17,
18,
19,
20,
21,
22,
23,
29,
30,
31,
32,
33,
34,
35,
36,
42,
43,
44,
45,
46,
47,
48,
49,
56,
... | ovd |
189,550 | 000000189550.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"elephant\", \"vase\", \"cell phone\", \"motorcycle\", \"remote\", \"tennis racket\", \"backpack\", \"skateboard\", \"toaster\", \"refrigerator\", \"cake\", \"dog\", \"couch\", \"baseball glove\", \... | In this image, there are 1 "person" (<|Obj_0|>), 1 "giraffe" (<|Obj_1|>). | [
{
"patches": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
44,
45,
46,
47,
4... | ovd |
212,663 | 000000212663.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"mouse\", \"pizza\", \"orange\", \"umbrella\", \"oven\", \"dining table\", \"handbag\", \"remote\", \"bicycle\", \"laptop\", \"giraffe\", \"vase\", \"teddy bear\", \"motorcycle\", \"sheep\", \"surfboard\", \"ti... | In this image, there are 1 "handbag" (<|Obj_0|>), 2 "bicycle" (<|Obj_1|>, <|Obj_2|>), 10 "person" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>), 2 "bus" (<|Obj_13|>, <|Obj_14|>). | [
{
"patches": [
211,
212,
234,
235
],
"bbox": [
0.20329687500000002,
0.6499736842105265,
0.236234375,
0.7675789473684212
],
"iscrowd": 0,
"area": 622.6766500000001,
"rle": {
"size": [
380,
640
],
"counts": "... | ovd |
476,005 | 000000476005.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bus\", \"car\", \"sandwich\", \"oven\", \"wine glass\", \"toilet\", \"vase\", \"spoon\", \"dog\", \"baseball bat\", \"cell phone\", \"cake\", \"elephant\", \"toothbrush\", \"giraffe\", \"umbrella\", \"refriger... | In this image, there are 9 "bus" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "car" (<|Obj_9|>), 2 "traffic light" (<|Obj_10|>, <|Obj_11|>). | [
{
"patches": [
135,
136,
137,
155,
156,
157,
158,
159,
160,
178,
179,
180,
181,
182,
183,
201,
202,
203,
204,
205,
206,
224,
225,
226,
227,
228,
229,
... | ovd |
505,440 | 000000505440.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bench\", \"motorcycle\", \"couch\", \"boat\", \"airplane\", \"book\", \"cell phone\", \"wine glass\", \"suitcase\", \"surfboard\", \"apple\", \"tv\", \"orange\", \"donut\", \"cow\", \"skis\", \"frisbee\", \"te... | There are 2 "giraffe" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
143,
144,
145,
146,
147,
148,
165,
166,
167,
168,
169,
170,
171,
172,
192,
193,
194,
195,
196,
215,
216,
217,
218,
219,
238,
239,
241,
... | ovd |
67,868 | 000000067868.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"hair drier\", \"backpack\", \"kite\", \"bottle\", \"oven\", \"frisbee\", \"handbag\", \"pizza\", \"toaster\", \"giraffe\", \"train\", \"elephant\", \"broccoli\", \"hot dog\", \"surfboard\", \"bird\", \"remote\... | There is 1 "bench" (<|Obj_0|>) in this image. | [
{
"patches": [
164,
165,
166,
167,
168,
169,
170,
171,
187,
188,
189,
190,
191,
192,
193,
194
],
"bbox": [
0.134203125,
0.4657109557109557,
0.4717343750000001,
0.5814219114219115
]... | ovd |
450,263 | 000000450263.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"frisbee\", \"sports ball\", \"sandwich\", \"stop sign\", \"car\", \"suitcase\", \"broccoli\", \"kite\", \"baseball bat\", \"hot dog\", \"dining table\", \"knife\", \"donut\", \"boat\", \"bed\", \"toothbrush\",... | In this image, there are 5 "boat" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 1 "handbag" (<|Obj_5|>), 4 "person" (<|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>), 2 "bicycle" (<|Obj_10|>, <|Obj_11|>), 1 "bench" (<|Obj_12|>). | [
{
"patches": [
18,
19,
20,
21,
22,
37,
41,
42,
43,
44,
45,
60,
61,
62,
63,
64,
65,
66,
67,
68,
83,
84,
85,
86,
87,
88,
89,
90,
91,
1... | ovd |
241,691 | 000000241691.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"giraffe\", \"pizza\", \"horse\", \"fork\", \"skis\", \"elephant\", \"hot dog\", \"tie\", \"bed\", \"umbrella\", \"toaster\", \"suitcase\", \"bench\", \"sheep\", \"bottle\", \"donut\", \"knife\", \"surfboard\",... | In this image, there are 1 "giraffe" (<|Obj_0|>), 1 "person" (<|Obj_1|>). | [
{
"patches": [
83,
101,
102,
103,
104,
105,
106,
123,
124,
125,
126,
127,
128,
129,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
164,
165,
... | ovd |
450,500 | 000000450500.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"baseball glove\", \"banana\", \"skateboard\", \"surfboard\", \"scissors\", \"sports ball\", \"handbag\", \"teddy bear\", \"sandwich\", \"oven\", \"sheep\", \"frisbee\", \"fork\", \"kite\", \"toilet... | In this image, there are 14 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 3 "handbag" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>), 4 "traffic light" (<|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>), 7 "car" (<|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>, <|Obj_27|>). | [
{
"patches": [
71,
89,
106,
107,
124,
125,
142,
143,
160,
161,
178,
179,
196,
197,
214,
215
],
"bbox": [
0.8905000000000001,
0.30075075075075075,
0.9997400000000001,
0.9906306306306305... | ovd |
545,293 | 000000545293.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bench\", \"handbag\", \"remote\", \"bowl\", \"bear\", \"carrot\", \"chair\", \"tennis racket\", \"giraffe\", \"tie\", \"refrigerator\", \"fork\", \"cow\", \"wine glass\", \"bicycle\", \"donut\", \"oven\", \"pe... | There is 1 "bench" (<|Obj_0|>) in this image. | [
{
"patches": [
195,
196,
197,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
243,
244,
245,
246,
... | ovd |
232,894 | 000000232894.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"clock\", \"vase\", \"tv\", \"fire hydrant\", \"truck\", \"wine glass\", \"elephant\", \"train\", \"bird\", \"banana\", \"donut\", \"sandwich\", \"baseball bat\", \"apple\", \"tie\", \"couch\", \"motorcycle\", ... | In this image, there are 2 "person" (<|Obj_0|>, <|Obj_1|>), 1 "bench" (<|Obj_2|>), 3 "dining table" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
17,
18,
19,
20,
39,
40,
41,
42,
43,
44,
62,
63,
64,
65,
66,
67,
68,
85,
86,
87,
88,
89,
90,
91,
108,
109,
110,
111,
112,
... | ovd |
439,969 | 000000439969.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sports ball\", \"broccoli\", \"cup\", \"vase\", \"sink\", \"zebra\", \"train\", \"toaster\", \"cell phone\", \"knife\", \"carrot\", \"toothbrush\", \"surfboard\", \"cat\", \"fire hydrant\", \"tie\", \"frisbee\... | There is 1 "fire hydrant" (<|Obj_0|>) in this image. | [
{
"patches": [
6,
7,
8,
9,
19,
20,
21,
22,
23,
24,
25,
34,
35,
36,
37,
38,
39,
40,
41,
49,
50,
51,
52,
53,
54,
55,
56,
62,
63,
64,
... | ovd |
29,913 | 000000029913.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bicycle\", \"broccoli\", \"tennis racket\", \"remote\", \"chair\", \"bed\", \"dog\", \"bear\", \"giraffe\", \"car\", \"fork\", \"microwave\", \"frisbee\", \"bird\", \"toilet\", \"fire hydrant\", \"bottle\", \"... | In this image, there are 2 "bicycle" (<|Obj_0|>, <|Obj_1|>), 1 "car" (<|Obj_2|>), 1 "fire hydrant" (<|Obj_3|>). | [
{
"patches": [
25,
28,
48,
49,
50,
51,
52,
71,
73,
74,
75,
98,
99,
100,
101,
102
],
"bbox": [
0.09446875,
0.11535046728971962,
0.44103125000000004,
0.3321028037383177
],
"iscro... | ovd |
410,437 | 000000410437.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"fire hydrant\", \"skis\", \"umbrella\", \"bicycle\", \"couch\", \"handbag\", \"bird\", \"spoon\", \"banana\", \"sheep\", \"kite\", \"surfboard\", \"tie\", \"carrot\", \"baseball glove\", \"tv\", \"mouse\", \"l... | There is 1 "fire hydrant" (<|Obj_0|>) in this image. | [
{
"patches": [
40,
62,
63,
64,
84,
85,
86,
87,
88,
107,
108,
109,
110,
111,
130,
131,
132,
133,
134,
135,
153,
154,
155,
156,
157,
158,
159,
176... | ovd |
455,859 | 000000455859.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"cell phone\", \"backpack\", \"bicycle\", \"keyboard\", \"stop sign\", \"bear\", \"traffic light\", \"tennis racket\", \"wine glass\", \"donut\", \"hot dog\", \"sheep\", \"tv\", \"scissors\", \"cake... | In this image, there are 10 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>), 1 "cell phone" (<|Obj_10|>), 3 "backpack" (<|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 1 "bicycle" (<|Obj_14|>). | [
{
"patches": [
172,
173,
195,
196,
218,
219,
220,
240,
241,
242,
243,
263,
264,
265,
266,
287,
288,
289,
310,
311,
333,
334,
356
],
"bbox": [
0.46653125,
... | ovd |
235,302 | 000000235302.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bed\", \"wine glass\", \"toaster\", \"hot dog\", \"frisbee\", \"motorcycle\", \"sandwich\", \"keyboard\", \"spoon\", \"elephant\", \"baseball bat\", \"dining table\", \"parking meter\", \"bus\", \"sink\", \"te... | In this image, there are 1 "bench" (<|Obj_0|>), 2 "person" (<|Obj_1|>, <|Obj_2|>), 1 "tie" (<|Obj_3|>). | [
{
"patches": [
161,
162,
178,
179,
180,
181,
182,
183,
184,
185,
201,
202,
203,
204,
205,
206,
207,
208,
225,
226,
227,
228,
229,
230,
231,
232,
249,
... | ovd |
431,573 | 000000431573.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"keyboard\", \"backpack\", \"tv\", \"hair drier\", \"skateboard\", \"handbag\", \"broccoli\", \"cake\", \"cup\", \"donut\", \"hot dog\", \"cat\", \"bottle\", \"sandwich\", \"zebra\", \"train\", \"laptop\", \"sn... | There is 1 "fire hydrant" (<|Obj_0|>) in this image. | [
{
"patches": [
84,
85,
107,
108,
109,
129,
130,
131,
132,
133,
134,
152,
153,
154,
155,
156,
175,
176,
177,
178,
198,
199,
200,
201,
221,
222,
223,
... | ovd |
290,570 | 000000290570.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bed\", \"elephant\", \"traffic light\", \"chair\", \"zebra\", \"parking meter\", \"donut\", \"truck\", \"bear\", \"boat\", \"sheep\", \"kite\", \"broccoli\", \"train\", \"cell phone\", \"mouse\", \"bottle\", \... | In this image, there are 10 "sheep" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>), 1 "bench" (<|Obj_10|>). | [
{
"patches": [
288,
289,
311,
312,
313,
314,
334,
335,
336,
337
],
"bbox": [
0.5194062500000001,
0.8437735849056603,
0.6725781250000001,
0.9560849056603774
],
"iscrowd": 0,
"area": 3206.8991000000005,
"rl... | ovd |
127,474 | 000000127474.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"surfboard\", \"refrigerator\", \"sheep\", \"knife\", \"dining table\", \"skateboard\", \"truck\", \"person\", \"clock\", \"couch\", \"bear\", \"pizza\", \"train\", \"apple\", \"car\", \"horse\", \"motorcycle\"... | In this image, there are 2 "person" (<|Obj_0|>, <|Obj_1|>), 1 "fire hydrant" (<|Obj_2|>). | [
{
"patches": [
50,
51,
52,
53,
73,
74,
75,
76,
96,
97,
98,
99,
119,
120,
121,
122,
141,
142,
143,
144,
145,
164,
165,
166,
167,
168,
169,
170,
... | ovd |
28,758 | 000000028758.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"giraffe\", \"motorcycle\", \"keyboard\", \"baseball glove\", \"surfboard\", \"suitcase\", \"sheep\", \"couch\", \"bear\", \"zebra\", \"hot dog\", \"frisbee\", \"carrot\", \"teddy bear\", \"clock\", \"dining ta... | In this image, there are 1 "giraffe" (<|Obj_0|>), 1 "zebra" (<|Obj_1|>). | [
{
"patches": [
75,
76,
93,
94,
95,
112,
113,
114,
131,
132,
133,
149,
150,
151,
167,
168,
169,
185,
186,
187,
203,
204,
205
],
"bbox": [
0.1938,
0.3563363... | ovd |
163,020 | 000000163020.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bird\", \"cat\", \"book\", \"bus\", \"skateboard\", \"backpack\", \"cell phone\", \"potted plant\", \"dog\", \"remote\", \"pizza\", \"horse\", \"frisbee\", \"stop sign\", \"hot dog\", \"parking meter\", \"donu... | There is 1 "bird" (<|Obj_0|>) in this image. | [
{
"patches": [
72,
95,
96,
97,
119,
120,
121,
142,
143,
144,
145,
146,
165,
166,
167,
188,
189
],
"bbox": [
0.15075000000000002,
0.21306910569105691,
0.38307812500000005,
0.46197... | ovd |
332,654 | 000000332654.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"skis\", \"cake\", \"potted plant\", \"baseball glove\", \"spoon\", \"mouse\", \"horse\", \"toilet\", \"scissors\", \"airplane\", \"bird\", \"oven\", \"person\", \"backpack\", \"cell phone\", \"banana\", \"toot... | In this image, there are 5 "car" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 4 "traffic light" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "fire hydrant" (<|Obj_9|>). | [
{
"patches": [
137,
138,
152
],
"bbox": [
0.1266822429906542,
0.40934375000000006,
0.21754672897196262,
0.441125
],
"iscrowd": 0,
"area": 628.4055499999996,
"rle": {
"size": [
640,
428
],
"counts": "aPR16ic02M3M3... | ovd |
281,455 | 000000281455.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"cat\", \"umbrella\", \"mouse\", \"cow\", \"chair\", \"potted plant\", \"boat\", \"fire hydrant\", \"scissors\", \"surfboard\", \"suitcase\", \"bicycle\", \"hair drier\", \"sandwich\", \"oven\", \"dining table\... | There are 5 "bird" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>) in this image. | [
{
"patches": [
263,
286
],
"bbox": [
0.441625,
0.5097031249999999,
0.4726406250000001,
0.542765625
],
"iscrowd": 0,
"area": 185.51174999999992,
"rle": {
"size": [
640,
640
],
"counts": "`Va58gc03N1O0L4O1ON2M4O01O100001... | ovd |
38,029 | 000000038029.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sports ball\", \"hot dog\", \"toothbrush\", \"hair drier\", \"potted plant\", \"book\", \"toilet\", \"kite\", \"banana\", \"bowl\", \"skateboard\", \"elephant\", \"remote\", \"teddy bear\", \"zebra\", \"stop s... | In this image, there are 1 "truck" (<|Obj_0|>), 1 "fire hydrant" (<|Obj_1|>), 13 "person" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>). | [
{
"patches": [
131,
132,
133,
134,
135,
136,
154,
155,
156,
157,
158,
159,
160,
177,
178,
179,
180,
181,
182,
183,
200,
201,
202,
203,
204,
205,
206,
... | ovd |
17,756 | 000000017756.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"laptop\", \"elephant\", \"stop sign\", \"oven\", \"keyboard\", \"teddy bear\", \"parking meter\", \"traffic light\", \"snowboard\", \"umbrella\", \"toilet\", \"tie\", \"sheep\", \"toaster\", \"chair\", \"bench... | In this image, there are 1 "boat" (<|Obj_0|>), 1 "bird" (<|Obj_1|>). | [
{
"patches": [
12,
13,
14,
15,
16,
17,
18,
19,
20,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
46,
47,
48,
49,
50,
51,
52,
5... | ovd |
380,932 | 000000380932.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"sports ball\", \"baseball bat\", \"book\", \"mouse\", \"bus\", \"backpack\", \"suitcase\", \"spoon\", \"scissors\", \"dog\", \"cup\", \"tv\", \"refrigerator\", \"truck\", \"elephant\", \"potted pla... | There is 1 "fire hydrant" (<|Obj_0|>) in this image. | [
{
"patches": [
138,
139,
140,
161,
162,
163,
164,
184,
185,
186,
187,
207,
208,
209,
210,
230,
231,
232,
253,
254,
255,
256
],
"bbox": [
0.0015,
0.4942274052478... | ovd |
155,885 | 000000155885.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"boat\", \"bird\", \"vase\", \"carrot\", \"toaster\", \"elephant\", \"bowl\", \"umbrella\", \"surfboard\", \"hot dog\", \"suitcase\", \"tennis racket\", \"snowboard\", \"potted plant\", \"chair\", \... | In this image, there are 2 "person" (<|Obj_0|>, <|Obj_1|>), 7 "boat" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 15 "bird" (<|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>). | [
{
"patches": [
159,
177
],
"bbox": [
0.8344600000000001,
0.7109826589595375,
0.8775600000000001,
0.7732658959537573
],
"iscrowd": 0,
"area": 324.0358999999996,
"rle": {
"size": [
346,
500
],
"counts": "jT]44d::G1N2O1O0... | ovd |
231,408 | 000000231408.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"cat\", \"hair drier\", \"baseball bat\", \"boat\", \"vase\", \"toaster\", \"bird\", \"book\", \"traffic light\", \"couch\", \"suitcase\", \"apple\", \"airplane\", \"bottle\", \"toothbrush\", \"handbag\", \"sur... | In this image, there are 1 "cat" (<|Obj_0|>), 1 "bird" (<|Obj_1|>). | [
{
"patches": [
151,
152,
171,
172,
173,
174,
175,
192,
193,
194,
195,
196,
197,
198,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
235,
236,
... | ovd |
305,821 | 000000305821.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"giraffe\", \"horse\", \"surfboard\", \"backpack\", \"toothbrush\", \"orange\", \"bed\", \"tie\", \"sheep\", \"cake\", \"bear\", \"remote\", \"bicycle\", \"skateboard\", \"frisbee\", \"mouse\", \"knife\", \"spo... | There are 2 "giraffe" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
16,
37,
38,
39,
40,
60,
61,
62,
82,
83,
84,
105,
106,
107,
128,
129,
130,
150,
151,
152,
173,
174,
175,
195,
196,
197,
198,
217,
... | ovd |
459,374 | 000000459374.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"stop sign\", \"umbrella\", \"carrot\", \"dog\", \"mouse\", \"frisbee\", \"vase\", \"tie\", \"boat\", \"apple\", \"bench\", \"zebra\", \"truck\", \"sheep\", \"sink\", \"clock\", \"skateboard\", \"oven\", \"bott... | There is 1 "fire hydrant" (<|Obj_0|>) in this image. | [
{
"patches": [
125,
126,
128,
129,
146,
147,
148,
149,
150,
151,
152,
153,
168,
169,
170,
171,
172,
173,
174,
175,
191,
192,
193,
194,
195,
196,
197,
... | ovd |
190,056 | 000000190056.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"pizza\", \"keyboard\", \"toothbrush\", \"apple\", \"bottle\", \"tv\", \"cup\", \"clock\", \"airplane\", \"bicycle\", \"tennis racket\", \"book\", \"bus\", \"fire hydrant\", \"traffic light\", \"refrigerator\",... | In this image, there are 5 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 4 "giraffe" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>). | [
{
"patches": [
139,
140
],
"bbox": [
0.21835416666666668,
0.35340625000000003,
0.24135416666666665,
0.37828125
],
"iscrowd": 0,
"area": 134.24859999999998,
"rle": {
"size": [
640,
480
],
"counts": "UkQ2:fc02M2O000O10O0... | ovd |
176,649 | 000000176649.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"oven\", \"cow\", \"teddy bear\", \"train\", \"surfboard\", \"vase\", \"tennis racket\", \"orange\", \"donut\", \"laptop\", \"sheep\", \"giraffe\", \"boat\", \"sports ball\", \"elephant\", \"handbag\", \"apple\... | No objects from the list are present in the image. | [] | ovd |
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