課程四(Convolutional Neural Networks)，第三 周（Object detection） —— 1.Practice questions：Detection algorithms
【解釋】 tree的兩個bounding boxes 都要保留，因為交並比小於0.5；car 0.73保留；pedestrain 0.98保留；motorcycle 0.58保留。一共5個。 【解釋 ...
原文：課程四(Convolutional Neural Networks)，第三 周（Object detection） —— 2.Programming assignments：Car detection with YOLOv2
Autonomous driving Car detection Welcome to your week programming assignment. You will learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook are described ...
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接着扯YOLO v2 相比較於YOLO v1，作者在之前模型上，先修修補補了一番，提出了YOLO v2模型。並基於imagenet的分類數據集和coco的對象檢測數據集，提出了wordnet模型，並成 ...
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