Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)




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Sliding window object detection is a technique that allows you to detect objects in a picture. This technique is not very efficient as it is very compute intensive. Recently new techniques has been discovered that tried to improve performance such as R CNN, Fast R CNN, Faster R CNN etc. YOLO (You only look once) is a state of the art most modern technique that outperforms all other previous techniques such as sliding window object detection, R CNN, Fast and Faster R CNN etc. We will cover YOLO in future videos.

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Comment List

  • codebasics
    December 23, 2020

    Please do a implementation of this project, it will help a lot

  • codebasics
    December 23, 2020

    Sir will an implementation of this in code be covered in the future? Am waiting for the YOLO video 😁

  • codebasics
    December 23, 2020
  • codebasics
    December 23, 2020

    will we not do this complete project????

  • codebasics
    December 23, 2020

    16 year old from hyd (India)

  • codebasics
    December 23, 2020

    good morning sir
    remember me sir??

  • codebasics
    December 23, 2020

    Do you know that there's a difference between object code and machine code ? OR that there are more than 13 types of pointers in c++ ? OR why stack frames are faster than heap frames ? OR the compiler can even reject your request for method inlining 🙄🙄 If not then checkout this repository for more interesting facts and concepts -: https://github.com/Intangible-pg18/Cpp-Deep-Dive

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