Super-squash branch 'main' using huggingface_hub

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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - object-detection
+tags:
+  - 3d-object-detection
+  - 3d-bounding-box
+  - stereo
+  - benchmark
+pretty_name: WildDet3D Stereo4D Benchmark
+size_categories:
+  - 1K<n<10K
+---
+
+# WildDet3D Stereo4D Benchmark
+
+3D object detection benchmark with ground-truth stereo depth from Stereo4D.
+
+Images extracted from Stereo4D videos (1 frame per video from the test set, representing 7% of all Stereo4D videos).
+
+| Split | Images | Annotations |
+|-------|--------|-------------|
+| Val | 383 | 2,782 |
+| Test | 328 | 1,707 |
+
+## Download
+
+```bash
+pip install huggingface_hub
+
+# Download everything
+huggingface-cli download weikaih/WildDet3D-Stereo4D-Bench --repo-type dataset --local-dir WildDet3D-Stereo4D-Bench
+```
+
+After downloading, extract the packed archives:
+
+```bash
+cd WildDet3D-Stereo4D-Bench
+tar xzf packed/images.tar.gz
+tar xzf packed/depth.tar.gz
+tar xzf packed/camera_parameters.tar.gz
+```
+
+## Directory Structure
+
+```
+WildDet3D-Stereo4D-Bench/
+├── annotations/
+│   ├── Stereo4D_val.json
+│   ├── Stereo4D_test.json
+│   └── Stereo4D_val_class_map.json
+├── images/                          # 7,704 images (512x512)
+├── depth/                           # 7,704 .npy depth maps (float32, meters)
+└── camera_parameters/               # 7,704 .json camera intrinsics
+```
+
+## Annotation Format (COCO3D)
+
+Same format as [WildDet3D-Data](https://huggingface.co/datasets/weikaih/WildDet3D-Data). Each annotation JSON contains:
+
+- **`images`**: image metadata with `file_path`, `K` (intrinsics), `width`, `height`
+- **`annotations`**: 3D bounding boxes with `center_cam`, `dimensions` [W,H,L], `R_cam`, `bbox3D_cam`, `bbox2D_proj`, `valid3D`
+- **`categories`**: category list
+
+## Depth Format
+
+Each `.npy` file is a float32 2D array at image resolution (512x512). **Values are in meters.**
+
+## License
+
+CC BY-NC
+
+This dataset is licensed under CC BY-NC. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.

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