| # Warehouse Object Detection Dataset - YOLO Configuration | |
| path: /Users/machowe/School/Capstone/data/warehouse_detection_dataset/yolo # dataset root dir | |
| train: images/train # train images (relative to 'path') | |
| val: images/val # val images (relative to 'path') | |
| test: images/test # test images (optional) | |
| # Classes | |
| nc: 25 # number of classes | |
| names: | |
| 0: box | |
| 1: crate | |
| 2: barrel | |
| 3: bottle | |
| 4: pallet | |
| 5: rack | |
| 6: bracket | |
| 7: lamp | |
| 8: sign | |
| 9: wire | |
| 10: fuse_box | |
| 11: floor_decal | |
| 12: fire_extinguisher | |
| 13: barcode | |
| 14: wall | |
| 15: ceiling | |
| 16: floor | |
| 17: pillar | |
| 18: forklift | |
| 19: bucket | |
| 20: cone | |
| 21: cart | |
| 22: emergency_board | |
| 23: paper_note | |
| 24: paper_shortcut | |
| # Dataset Info | |
| description: Synthetic warehouse object detection dataset with 6,272 images generated using NVIDIA Omniverse Replicator. Includes 2D bounding boxes, instance segmentation masks, depth maps, and 3D primitive paths for 18 object classes. | |
| version: 1.0.0 | |
| license: CC-BY-4.0 | |