You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Implementing Harris Corner Detector and Scale-Invariant Feature Transform (SIFT) for keypoint detection, feature description, and image matching under transformations like rotation, scaling, and translation.
A real-time book identification system using OpenCV and the ORB algorithm. This project detects and classifies books through a live camera feed by matching visual features with a pre-defined image database.
Automated Missing Person Detection & Identification using AI (Flask + OpenCV + Dlib Face Recognition). Matches faces from images/video frames with stored records to assist faster identification.
🔍 A CLIP-powered image similarity finder built with Streamlit — upload a query image and find the most visually similar matches from a gallery using deep visual embeddings.
Hybrid visual product recognition — perceptual-hash backbone, human-in-the-loop learning, pluggable retrieval and vision providers, explainable multi-signal confidence. Never guesses: no confident match means asking, not the least-bad product.