DeepReader YOLO9000: Better, Faster, Stronger

#machinelearning #deeplearning #paperoveriew #yolo #yolov2 #yolo9000 #objectdetection Paper Blogs @arashilen/note-for-yolo-v2-yolo9000-d00285962cb4 Code Abstract We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detection method, both novel and drawn from prior work. The improved model, YOLOv2, is state-of-the-art on standard detection tasks like PASCAL VOC and COCO. At 67 FPS, YOLOv2 gets 76.8 mAP on VOC 2007. At 40 FPS, YOLOv2 gets 78.6 mAP, outperforming state-of-the-art methods like Faster RCNN with ResNet and SSD while still running significantly faster. Finally we propose a method to jointly train on o