model: | |
type: YOLOv8 | |
framework: PyTorch | |
weights: ./best.pt | |
input_size: [640, 640] | |
inference: | |
confidence_threshold: 0.25 | |
iou_threshold: 0.45 | |
max_detections: 300 | |
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 | |