Object detection object detection object recognition and coco dataset hands-on deep learning v2 pytorch

1. Object detection object detection object recognition and datasets

Object detection has many more applications than image recognition, and object detection is more practical. For example, unmanned vehicles, autonomous driving, and vending machines recognize objects.
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COCO: https://cocodataset.org
80 objects.
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2. Edge box code implementation

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3. Datasets

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4. Q&A

    1. Lidar, a hardware optical radar for unmanned vehicles, will have a high degree of recognition. Tesla's more aggressive cameras will have a higher recognition rate. The recognition rate of humans is 95%, so the machine should be higher than this level.
    1. Deep learning is relatively popular in 3D vision, such as AR and VR. Computer vision, basically written in C++.

reference

https://www.bilibili.com/video/BV1Lh411Y7LX?p=1

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Origin blog.csdn.net/zgpeace/article/details/124464793