yunet-faceobject-detection · family: yunet
| Source | https://huggingface.co/litert-community/YuNet-Face-LiteRT |
|---|---|
| License | bsd-3-clause |
| Model file | 5661d44b4bac479f17576dd5b2c14554e7924ab4d273ae14ddd6482b3fb81cab.tflite — downloaded from the source at runtime; this site hosts no weights |
Preparing…
Every number is labeled with the environment that produced it — headless desktop Chromium is not a user’s phone, and results are only meaningful together with their environment.
| Backend | Status | Full delegation | Output match | Latency p50 (ms) | Environment | Verified | Provenance |
|---|---|---|---|---|---|---|---|
wasm_xnnpack | pass | — | — | 140.42 | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-08-11 | measured |
webgpu_mldrift | pass | yes | pass | 6.527 | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-08-11 | measured |
Full record (failure class, evidence, sweep config): raw sweep JSON · card.json · CARD.md
One-line prompt for your AI coding assistant (uses the litert-cookbook web skill):
Use the litert-cookbook web skill to build a LiteRT.js browser demo for yunet-face: load the model from https://huggingface.co/litert-community/YuNet-Face-LiteRT/resolve/main/5661d44b4bac479f17576dd5b2c14554e7924ab4d273ae14ddd6482b3fb81cab.tflite (license: bsd-3-clause) and run it with @litertjs/core.
One-line prompt for Claude Code / Gemini CLI — re-runs the same sweep verification for this model, locally:
In the edge-compat repo, verify yunet-face with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row yunet-face,https://huggingface.co/litert-community/YuNet-Face-LiteRT/resolve/main/5661d44b4bac479f17576dd5b2c14554e7924ab4d273ae14ddd6482b3fb81cab.tflite,1x3x640x640:float32,bsd-3-clause, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/yunet-face.json with the sweep table on this page.