Upload config_cvat.yaml
Browse files- config_cvat.yaml +63 -0
config_cvat.yaml
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model:
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type: YOLOv8
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framework: PyTorch
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weights: ./best.pt
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type: "object-detection"
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pipeline_tag: "image-segmentation",
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inference:
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confidence_threshold: 0.001
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classes:
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- 0: Person
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- 1: Scooter
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- 2: Wheelchair
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- 3: Phone
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- 4: Cup
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- 5: Book
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- 6: Cloth
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- 7: Shoes
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- 8: Bicycle
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- 9: Skating Shoes
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- 10: Toy
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- 11: Headphone
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- 12: Food
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- 13: Bottle
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- 14: Ball
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- 15: Map
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- 16: Ice cream
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- 17: Camera
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- 18: Shovel
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- 19: Sandcastle bucket
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- 20: Chair
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- 21: Trolley
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- 22: Swimming float
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- 23: Slide
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- 24: Water
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- 25: Plate
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- 26: Tray
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- 27: Wallet
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- 28: Ipad
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- 29: Luggage
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- 30: Car
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- 31: Package
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- 32: Microphone
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- 33: Cleaning trolley
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- 34: Stroller
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- 35: Clothes
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- 36: Flyers
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- 37: Water can
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- 38: Compost
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- 39: Pot
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- 40: Plant
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- 41: Pitcher
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- 42: Bin
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- 43: Bucket
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- 44: Aquarium
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- 45: Fishing net
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- 46: Sandcastle
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- 47: Newspaper
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- 48: Shell
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- 49: Sunscreen
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- 50: Water gun
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- 51: Bookshelf
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- 52: Yarn
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- 53: Baby
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