Super-squash branch 'main' using huggingface_hub

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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - object-detection
+tags:
+  - 3d-object-detection
+  - 3d-bounding-box
+  - monocular-3d
+  - in-the-wild
+  - benchmark
+pretty_name: WildDet3D Benchmark
+size_categories:
+  - 1K<n<10K
+---
+
+# WildDet3D Benchmark
+
+In-the-wild 3D object detection benchmark (val and test splits) from COCO, LVIS, and Objects365.
+
+| Split | Images | Annotations | Categories |
+|-------|--------|-------------|------------|
+| Val | 2,470 | 9,256 | 785 |
+| Test | 2,433 | 5,596 | 633 |
+
+## Download
+
+```bash
+pip install huggingface_hub
+
+# Download everything
+huggingface-cli download allenai/WildDet3D-Bench --repo-type dataset --local-dir WildDet3D-Bench
+```
+
+After downloading, extract depth and camera archives:
+
+```bash
+cd WildDet3D-Bench
+tar xzf packed/depth_val.tar.gz
+tar xzf packed/depth_test.tar.gz
+tar xzf packed/camera_val.tar.gz
+tar xzf packed/camera_test.tar.gz
+```
+
+## Directory Structure
+
+```
+WildDet3D-Bench/
+├── annotations/
+│   ├── InTheWild_v3_val.json
+│   ├── InTheWild_v3_test.json
+│   └── InTheWild_v3_val_class_map.json
+├── depth/{val,test}/                    # Monocular depth maps
+│   └── {source}_{formatted_id}.npz     # float32, mm (divide by 1000 for meters)
+└── camera/{val,test}/                   # Camera intrinsics
+    └── {source}_{formatted_id}.json    # K + image_size
+```
+
+## Source Images
+
+Images must be downloaded from their original sources:
+
+| Source | Directory | Download |
+|--------|-----------|----------|
+| COCO val2017 | `images/coco_val/` | https://cocodataset.org/ |
+| COCO train2017 | `images/coco_train/` | https://cocodataset.org/ |
+| Objects365 val | `images/obj365_val/` | https://www.objects365.org/ |
+
+## Annotation Format (COCO3D)
+
+Same format as [WildDet3D-Data](https://huggingface.co/datasets/weikaih/WildDet3D-Data). Key fields:
+
+- **`valid3D`**: `true` = valid 3D annotation, `false` = 3D box filtered out (2D box still valid)
+- **`center_cam`**: 3D box center in camera coordinates (meters)
+- **`dimensions`**: `[width, height, length]` in meters (Omni3D convention)
+- **`R_cam`**: 3x3 rotation matrix (gravity-aligned, local Y = up)
+- **`bbox3D_cam`**: 8 corner points of the 3D bounding box
+- **`bbox2D_proj`**: 2D bounding box `[x1, y1, x2, y2]`
+
+## License
+
+CC BY 4.0

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