mohamedamine99/YOLOv8-custom-object-detection
This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.
This project helps you train a computer to identify, track, and count specific objects in images or videos, even if those objects aren't commonly recognized. You provide example images of the objects you want to detect, and the system outputs a custom model that can find and analyze those objects. This is ideal for researchers, operations managers, or quality control professionals who need automated visual monitoring.
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Use this if you need to automatically detect, track, or count very specific items in visual media, like particular types of animals, equipment, or safety gear, and off-the-shelf solutions don't recognize them.
Not ideal if you need to detect only common objects already recognized by standard computer vision models or if you lack the technical skills to train and deploy custom models.
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Last pushed
Jul 11, 2023
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