| --- |
| 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 | |
|
|
| **Note:** The test set is held out for hidden evaluation and is not publicly available. Please submit predictions to [TODO: evaluation server] for test set evaluation. |
|
|
| ## 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/camera_val.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 |
|
|
