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README.md

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 ---
 license: cc-by-nc-sa-4.0
+language:
+- en
+tags:
+- sports
+- pitch-localisation
+- football
+- Sports Field Localization
+pretty_name: FootballCameraSynth
+size_categories:
+- 10K<n<100K
 ---
+# **FootballCamSynth: A Synthetic Football Dataset with Camera Parameters**  
+
+## **Overview**  
+**FootballCamSynth** is a synthetic dataset created using a customized version of the **Google Research Football Simulator**. It contains **40,000 images** with **camera parameter annotations**, making it useful for **sports field registration, camera calibration, and synthetic-to-real adaptation**.  
+
+## **Dataset Features**  
+- **40,000 high-quality images** of simulated football scenes.  
+- **Randomized textures**: Grass, pitch lines, and uniforms are sampled from a predefined set for diversity.  
+- **Dynamic camera settings**:  
+  - **Position (x, y, z)** sampled within realistic field boundaries.  
+  - **Orientation (pan, tilt, roll)**: The roll is fixed at `0`, while pan and tilt adjust to keep the field in view.  
+  - **Field of View (FoV)** varies across images.  
+
+## **Usage**  
+This dataset is ideal for:  
+✔ **Camera parameter estimation**  
+✔ **Football scene understanding**  
+✔ **Synthetic-to-real adaptation**  
+
+## **Dataset Statistics**  
+Below is a visualization of key dataset distributions, including camera positions, orientations, and FoV:  
+![Dataset Statistics](synth_df_statistics.png)  
+
+## **Annotations**  
+camera_parameters.csv contains annotations for all images. Each image is annotated with:  
+```json
+{
+    "image_name": "000000000.jpg",
+    "aov": 1.1664075131018652,
+    "c_x": 41.564503873575774,
+    "c_y": 91.01672333543827,
+    "c_z": -10.775780120664296,
+    "pan": -1.0167846147515798,
+    "roll": 0.0,
+    "tilt": 1.4723548512164744,
+    "h": 1080,
+    "w": 1920
+}
+```
+
+## **Visualization & Projection Matrix**  
+To **visualize the labeled data** and compute the **projection matrix**, use the Jupyter notebook:  
+
+📂 **`src/vis_labels.ipynb`**  
+![Labeling visualization](labeling.png)  
+
+## **License** 
+📜 CC-BY-NC-4.0 – Free to use for research and non-commercial purposes with attribution.
+
+## **Usage**  
+This dataset is ideal for:  
+✔ **Camera parameter estimation**  
+✔ **Football scene understanding**  
+✔ **Synthetic-to-real adaptation**  

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src/requirements.txt

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+pandas
+numpy
+matplotlib
+pillow
+seaborn