Image Object Detection with YOLOv8m V3

Technologies

• Python
• YOLOv8
• OpenCV

Overview:

This project builds up on the previous project to perform automated object detection. This time the model is used for object detection in a video. The model used for the image detection is called YOLOv8m. YOLOv8n is the lightweight, fast version with about 3 million parameters, ideal for real-time detection on modest hardware. YOLOv8m is a larger, more accurate model with roughly 26 million parameters, offering stronger performance at the cost of higher computational demand. The original video was downloaded from: https://www.pexels.com/video/person-playing-with-dogs-9252757/
The code found on GitHub contains two versions of the script, one for realtime video object detection and one script with the possibility to save the annotated video. If you ever try these projects on your own computer, just a word of caution, these object detection models are way bigger than other projects, since you download pretrained models. One project is can reach almost 1GB of space on your drive.