| 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 | |