Build, train, and deploy real-time machine learning models directly in your browser. Harness edge acceleration with zero installation required.
Capture live samples, train a neural model in-memory, and run real-time inference.
Click to capture simulated feature vectors for each target class.
Model confidence output for active frame:
Select an architecture to deploy your training harness.
Train edge image classifiers live using your webcam. Instant on-device training with zero cloud dependency.
Build speech recognition, ambient noise detection, and musical pattern recognition from microphone feeds.
Track 33 body keypoints in real time to build gesture controllers and rehabilitation tracking algorithms.
Experiment with attention mechanisms, temperature sampling, and token generation in your browser.
Real-time bounding box detection for robotics pathfinding, lane tracking, and obstacle avoidance.
Extract emotion vectors, analyze customer reviews, and parse multi-lingual text semantics.
