Instructions to use weecology/cropmodel-neon-resnet18-genus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- DeepForest
How to use weecology/cropmodel-neon-resnet18-genus with DeepForest:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 2,283 Bytes
68ff83c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | ,precision,recall,f1-score,support
Abies (0),0.9083,0.7952,0.848,249.0
Acer (1),0.8332,0.9127,0.8711,996.0
Ailanthus (2),0.0,0.0,0.0,1.0
Alnus (3),1.0,0.8889,0.9412,9.0
Amelanchier (4),0.9375,0.9146,0.9259,82.0
Arctostaphylos (5),0.3333,1.0,0.5,1.0
Betula (6),0.9163,0.8519,0.8829,270.0
Bourreria (7),1.0,0.8333,0.9091,6.0
Bucida (8),1.0,0.8,0.8889,5.0
Bursera (9),1.0,1.0,1.0,2.0
Calocedrus (10),0.6129,0.6786,0.6441,28.0
Carpinus (11),0.9024,0.8706,0.8862,85.0
Carya (12),0.8699,0.8411,0.8552,151.0
Castanea (13),1.0,1.0,1.0,1.0
Celtis (14),0.8933,0.8535,0.873,157.0
Cercis (15),0.5625,0.8182,0.6667,11.0
Cornus (16),0.7333,0.6471,0.6875,17.0
Diospyros (17),1.0,0.7143,0.8333,7.0
Fagus (18),0.8421,0.7442,0.7901,129.0
Fraxinus (19),0.8651,0.7569,0.8074,144.0
Gleditsia (20),1.0,0.1667,0.2857,6.0
Gordonia (21),1.0,1.0,1.0,1.0
Gymnocladus (22),1.0,1.0,1.0,1.0
Halesia (23),1.0,0.8889,0.9412,18.0
Ilex (24),1.0,1.0,1.0,5.0
Juglans (25),0.5556,0.625,0.5882,16.0
Juniperus (26),0.85,0.7391,0.7907,46.0
Larix (27),0.4,0.8,0.5333,5.0
Liquidambar (28),0.7548,0.8239,0.7879,142.0
Liriodendron (29),0.8935,0.8728,0.883,173.0
Maclura (30),0.8,0.4444,0.5714,9.0
Magnolia (31),0.8462,0.7586,0.8,29.0
Melia (32),1.0,1.0,1.0,3.0
Metrosideros (33),1.0,0.75,0.8571,8.0
Morus (34),0.9032,1.0,0.9492,28.0
Nyssa (35),0.9895,0.9216,0.9543,102.0
Ostrya (36),1.0,0.5,0.6667,4.0
Oxydendrum (37),0.9348,0.86,0.8958,50.0
Picea (38),0.9111,0.8667,0.8883,390.0
Pinaceae (39),0.0,0.0,0.0,4.0
Pinus (40),0.9033,0.9353,0.919,989.0
Pisonia (41),1.0,0.6667,0.8,3.0
Platanus (42),0.9,0.9,0.9,20.0
Populus (43),0.8941,0.9174,0.9056,230.0
Prunus (44),0.9375,0.8824,0.9091,34.0
Pseudotsuga (45),0.8731,0.9135,0.8928,497.0
Quercus (46),0.8977,0.8841,0.8909,1122.0
Robinia (47),1.0,0.7059,0.8276,17.0
Rosa (48),1.0,1.0,1.0,2.0
Salix (49),1.0,1.0,1.0,1.0
Sassafras (50),1.0,0.3846,0.5556,13.0
Sideroxylon (51),0.6667,1.0,0.8,2.0
Symphoricarpos (52),1.0,1.0,1.0,6.0
Taxus (53),1.0,1.0,1.0,13.0
Thuja (54),0.9412,0.8421,0.8889,19.0
Tilia (55),1.0,1.0,1.0,6.0
Triadica (56),1.0,0.8571,0.9231,7.0
Tsuga (57),0.8781,0.893,0.8855,710.0
Ulmus (58),0.7551,0.7957,0.7749,93.0
Unknown (59),0.8333,0.6818,0.75,22.0
accuracy,0.8783,0.8783,0.8783,0.8783
macro avg,0.8588,0.8033,0.8138,7197.0
weighted avg,0.8802,0.8783,0.8775,7197.0
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