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L2CS-Net (ResNet50 backbone, ~95 MB) gives the highest accuracy of the gaze tools in the Toolkit. The face detector tracks up to two people; gaze inference is refreshed in a round-robin pattern across faces. On Chrome/Edge, WebGPU acceleration delivers ~15–20 FPS gaze inference; other browsers run on WASM (CPU) at 1–3 FPS.