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# 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
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