Object Detection is a task in computer vision that focuses on detecting objects in images/videos.

There are various object detection algorithms out there like YOLO (You Only Look Once,) Single Shot Detector (SSD), Faster R-CNN, Histogram of Oriented Gradients (HOG), etc.

In this article, we are going to use Yolo-V5 to train our custom object detection model. YOLO is one of the most famous object detection models.

Version 1.0 of YOLO-V5 got released on 27 May 2020 by Glenn Jocher who is the founder & CEO of Utralytics. It’s written in PyTorch and it’s available in Github.

#object-detection #opencv #deep-learning #machine-learning #data-science

Training a Custom Object Detection Model With Yolo-V5
5.20 GEEK