backend/dataset.yaml

# dataset.yaml — YOLO training dataset configuration
# Edit the `path` field to match your dataset directory
# Annotate using Roboflow (https://roboflow.com) and export as YOLOv8 format

path: /path/to/your/dataset    # root directory
train: images/train            # training images (relative to path)
val:   images/val              # validation images (relative to path)
test:  images/test             # (optional) test images

# Number of classes
nc: 6

# Class names — must match COCO traffic subset indices used in tracker.py
names:
  0: person
  1: bicycle
  2: car
  3: motorbike
  5: bus
  7: truck