Dataset論文:Microsoft COCO: Common Objects in Context

介紹:

本文介紹了COCO Dataset的詳細資料,也和PASCAL VOC作比較。

雖然COCO的categories比較少,但是比起VOC,每個categories擁有更多的instances,可以增進對個別categories在進行training時的accuracy。

有一點比較困惑的地方是,論文提到dataset擁有91種object categories,與之前測試YOLO時coco.names只有80種,明顯數量不同。不過在APPENDIX II: OBJECT & SCENE CATEGORIES的地方有註記: (the 2014 release contains segmentation masks for 80 of these categories)

在APPENDIX的地方,也有介紹COCO dataset是如何進行label的,有興趣的讀者可以參考看看。

論文:

Machine Learning / Deep Learning / Python / Flutter cakeresume.com/yanwei-liu

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