dis-isnetimage-segmentation · family: isnet
| Source | https://huggingface.co/litert-community/DIS-ISNet-LiteRT |
|---|---|
| License | apache-2.0 |
| Model file | a597603c0464bb3a460aa02d1eb6eb6c03b8cba69e9181dafb12687067713cf6.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 | — | — | 4440.095 | 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 | 65.37 | 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 dis-isnet: load the model from https://huggingface.co/litert-community/DIS-ISNet-LiteRT/resolve/main/a597603c0464bb3a460aa02d1eb6eb6c03b8cba69e9181dafb12687067713cf6.tflite (license: apache-2.0) 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 dis-isnet with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row dis-isnet,https://huggingface.co/litert-community/DIS-ISNet-LiteRT/resolve/main/a597603c0464bb3a460aa02d1eb6eb6c03b8cba69e9181dafb12687067713cf6.tflite,1x3x1024x1024:float32,apache-2.0, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/dis-isnet.json with the sweep table on this page.