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A comment on Facebook open-sources Detectron. Parent comment

Re:Facebook open-sources Detectron by byte1918 on Tuesday January 23, 2018 @03:25AM (#16211908)
Maybe https://pjreddie.com/darknet/install or one of the various forks. YOLO is supposed to be one of the best object detection systems as far as accuracy/speed is concerned.
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Re:Facebook open-sources Detectron by ajtulloch on Tuesday January 23, 2018 @03:36AM (#16211952)
Look at the first table in https://arxiv.org/pdf/1708.02002.pdf (the RetinaNet paper, code + models included in this release). There’s a substantial accuracy cost for YOLO vs other, similarly fast (within a factor of 2 or so), methods.
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Re:Facebook open-sources Detectron by byte1918 on Tuesday January 23, 2018 @04:30AM (#16212147)
> similarly fast

Unless I misunderstood figure 2, YOLO seems to be more than twice as fast than the second runner and yes I agree and already was aware that YOLO's accuracy is not as good as other classifiers.

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