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AI-based Tuberculosis (TB) detection system using lung segmentation (ResUNet++), classification (EfficientNetB0), and explainable AI (Grad-CAM) for transparent, accurate, and reliable diagnosis from chest X-ray images.
Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑
🎨 Add text overlays to segmented objects in your images using AI. Powered by Meta's SAM2 for segmentation, running entirely in your browser. Perfect for creating memes, social media content, and creative image editing. No backend required!
This project integrates MediaPipe Solutions with Node.js and Express for real-time computer vision tasks. It showcases examples of image segmentation, hand and face detection, and pose detection, with a combined example for all three types of landmark detection.
The goal is to segment instances of microvascular structures, including capillaries, arterioles, and venules, to in automating the segmentation of microvasculature structures as it will improve researchers' understanding of how the blood vessels are arranged in human tissues.
Browser-based image sketchpad for annotating several structures on an image. Output is a JSON/PNG/SVG binary 2D segmentation mask that can be re-loaded.