Highlight Any Object in an Image Using MediaPipe Segmentation

This 12-minute tutorial demonstrates how to perform interactive image segmentation using Python, MediaPipe, and OpenCV. Learn to leverage Google's DeepLabV3 model through MediaPipe's InteractiveSegmenter to detect and highlight objects in images with custom color overlays. Master essential computer vision techniques including loading and displaying images with OpenCV, implementing MediaPipe's DeepLab segmentation model, defining regions of interest with normalized keypoints, creating and applying segmentation masks, and blending overlay colors with transparency. The video provides a complete walkthrough from installation to coding implementation, making it ideal for developers working on background removal, object highlighting, and visual effects in AI applications. Additional resources include code access, related playlists for computer vision and image segmentation tutorials, and recommended courses and books for further learning.