ML - A Practical Guide to Object Detection using the Popular YOLO Framework – Part III (with Python codes)
Repost from https://www.analyticsvidhya.com/blog/2018/12/practical-guide-object-detection-yolo-framewor-python/ Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the desired result? Minimum effort, maximum reward. Isn’t that what we strive for in any profession? I feel incredibly lucky to be part of our machine learning community where even the top tech behemoths embrace open source technology. Of course it’s important to understand and grasp concepts before implementing them, but it’s always helpful when the ground work has been laid for you by top industry data scientists and researchers. This is especially true for deep learning domains like computer vision. Not everyone has the computational resources to build a DL model from scratch. That’s where predefined frameworks and pretained models come in handy. And in this article, we will look at one such framework for object detection – YOLO. It’s a supremely fast...