# 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