bisenet-face-parsingimage-segmentation · family: bisenet
| Source | https://huggingface.co/litert-community/BiSeNet-Face-Parsing-LiteRT |
|---|---|
| License | mit |
| Model file | f5a806696ecbdb715b4ec22c27eaab348874efa00bc1df2af6a3db52963aa408.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 | — | — | 442.142 | 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 | 79.592 | 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 bisenet-face-parsing: load the model from https://huggingface.co/litert-community/BiSeNet-Face-Parsing-LiteRT/resolve/main/f5a806696ecbdb715b4ec22c27eaab348874efa00bc1df2af6a3db52963aa408.tflite (license: mit) 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 bisenet-face-parsing with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row bisenet-face-parsing,https://huggingface.co/litert-community/BiSeNet-Face-Parsing-LiteRT/resolve/main/f5a806696ecbdb715b4ec22c27eaab348874efa00bc1df2af6a3db52963aa408.tflite,1x3x512x512:float32,mit, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/bisenet-face-parsing.json with the sweep table on this page.