Yolo Tiny


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You only look once (YOLO v2) is a state-of-the-art, real-time object detection system. Tiny YOLO is much faster but less accurate than the normal YOLO model.


  • Requirements: iOS 11 or higher
  • Format: CoreML (.mlmodel)
  • File size: 7MB

Training classes: (mscoco dataset)

person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, chair, sofa, pottedplant, bed, diningtable, toilet, tvmonitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair drier, toothbrush

Release Notes:

  • v1.0 – July 28, 2017 – initial release for iOS 11


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