model:
  type: YOLOv8
  framework: PyTorch
  weights: ./best.pt
  type: "object-detection"
  pipeline_tag: "image-segmentation",
inference:
  confidence_threshold: 0.001
classes:
  - 0: Person
  - 1: Scooter
  - 2: Wheelchair
  - 3: Phone
  - 4: Cup
  - 5: Book
  - 6: Cloth
  - 7: Shoes
  - 8: Bicycle
  - 9: Skating Shoes
  - 10: Toy
  - 11: Headphone
  - 12: Food
  - 13: Bottle
  - 14: Ball
  - 15: Map
  - 16: Ice cream
  - 17: Camera
  - 18: Shovel
  - 19: Sandcastle bucket
  - 20: Chair
  - 21: Trolley
  - 22: Swimming float
  - 23: Slide
  - 24: Water
  - 25: Plate
  - 26: Tray
  - 27: Wallet
  - 28: Ipad
  - 29: Luggage
  - 30: Car
  - 31: Package
  - 32: Microphone
  - 33: Cleaning trolley
  - 34: Stroller
  - 35: Clothes
  - 36: Flyers
  - 37: Water can
  - 38: Compost
  - 39: Pot
  - 40: Plant
  - 41: Pitcher
  - 42: Bin
  - 43: Bucket
  - 44: Aquarium
  - 45: Fishing net
  - 46: Sandcastle
  - 47: Newspaper
  - 48: Shell
  - 49: Sunscreen
  - 50: Water gun
  - 51: Bookshelf
  - 52: Yarn
  - 53: Baby