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Object Localization: An Implementation in Python

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Advanced Applied Deep Learning
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Abstract

In this chapter, we will look at the YOLO (You Only Look Once) method for object detection. The chapter is split in two parts: in the first section we learn how the algorithm works, and in the second section, I will give an example of how you can use it in your own Python projects.

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Notes

  1. 1.

    Redmon J. et al., “You Only Look Once: Unified, Real-Time Object Detection,” https://arxiv.org/abs/1506.02640 .

  2. 2.

    http://host.robots.ox.ac.uk/pascal/VOC/

  3. 3.

    Redmon J., Farhadi A., “YOLO9000: Better, Faster, Stronger,” https://arxiv.org/abs/1612.08242

  4. 4.

    Redmon J., Farhadi A., “YOLOv3: An Incremental Improvement,” https://arxiv.org/pdf/1804.02767.pdf

  5. 5.

    You can find the image used for testing in the GitHub repository within Chapter 7.

  6. 6.

    You can find the official documentation at http://toe.lt/t .

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© 2019 Umberto Michelucci

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Michelucci, U. (2019). Object Localization: An Implementation in Python. In: Advanced Applied Deep Learning . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4976-5_7

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