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In-Browser object detection using YOLO and TensorFlow.js

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ffff  ome time ago, I spent several evenings playing around with state of the art object detection model called YOLO, which is certainly known to those who are interested in Machine Learning on a daily basis. Originally written in Darknet  — open source neural network framework — YOLO performs really well in the tasks of locating and recognizing objects on the pictures. Due to the fact that I have been interested in TensorFlow.js for a few weeks now, I decided to check how YOLO will handle the limitations of In-Browser computing. The entire source code as well as my previous TF.js projects can be found on GitHub . If you want to play with the demo version, visit “I Learn Machne Learning” project website . Note: I also recommend reading an article that recently appeared on Towards Data Science, which was the starting point for my project. I will try not to duplicate the information contained in it but rather broaden the topics raised in it and hopefully enri...
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