YOLOv8 Image Detection

Technologies

• Python
• YOLOv8
• OpenCV

Overview:

'Real-time object detection pipeline for static image analysis.'

This project is the simplest setup to perform automated object detection and can be used in all sorts of computer vision projects. The model used for the image detection is called YOLOv8n. YOLO is a pretrained model and trained on the COCO dataset. Around 200,000 images are labeled for object detection. object categories (classes) that the model is trained to recognize, such as "person", "car", "dog", "bicycle", "zebra", etc. In this example, we try to detect the Zebra in an image and try to label the object correctly.