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80
Weights/classes.txt
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80
Weights/classes.txt
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person, 10
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bicycle, 4
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car, 3
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motorcycle, 4
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airplane, 4
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bus, 4
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train, 4
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truck, 3
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boat, 4
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traffic light, 1
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fire hydrant, 1
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stop sign, 1
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parking meter, 1
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bench, 2
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bird, 5
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cat, 6
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dog, 5
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horse, 4
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sheep, 5
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cow, 4
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elephant, 5
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bear, 5
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zebra, 5
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giraffe, 5
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backpack, 3
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umbrella, 3
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handbag, 3
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tie, 3
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suitcase, 2
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frisbee, 3
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skis, 3
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snowboard, 3
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sports ball, 3
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kite, 4
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baseball bat, 3
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baseball glove, 3
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skateboard, 3
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surfboard, 3
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tennis racket, 3
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bottle, 2
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wine glass, 2
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cup, 2
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fork, 1
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knife, 1
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spoon, 1
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bowl, 1
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banana, 1
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apple, 1
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sandwich,1
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orange, 1
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broccoli, 1
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carrot, 1
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hot dog, 1
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pizza, 1
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donut, 2
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cake, 2
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chair, 1
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couch, 1
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potted plant, 1
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bed, 1
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dining table, 1
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toilet, 1
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tv, 1
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laptop, 1
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mouse, 1
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remote, 1
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keyboard, 1
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cell phone, 1
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microwave, 1
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oven, 1
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toaster, 1
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sink, 1
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refrigerator, 1
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book, 1
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clock, 1
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vase, 1
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scissors, 1
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teddy bear, 1
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hair drier, 1
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toothbrush, 1
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BIN
Weights/face_detection_yunet_2023mar.onnx
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BIN
Weights/face_detection_yunet_2023mar.onnx
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BIN
Weights/face_recognition_sface_2021dec.onnx
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BIN
Weights/face_recognition_sface_2021dec.onnx
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