places365-resnet18 — LiteRT.js demo

Source	https://huggingface.co/litert-community/Places365-ResNet18-LiteRT
License	mit
Model file	`4e5f1b5807a1800eb359eddfc1c2efa9819c80633fb304e86669f789f56433eb.tflite` — downloaded from the source at runtime; this site hosts no weights

Run it in your browser

Measured sweep results

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	—	—	226.743	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	2.723	mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3	2026-08-11	measured

Build this yourself

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 places365-resnet18: load the model from https://huggingface.co/litert-community/Places365-ResNet18-LiteRT/resolve/main/4e5f1b5807a1800eb359eddfc1c2efa9819c80633fb304e86669f789f56433eb.tflite (license: mit) and run it with @litertjs/core.

Reproduce this with an agent

One-line prompt for Claude Code / Gemini CLI — re-runs the same sweep verification for this model, locally:

In the edge-compat repo, verify places365-resnet18 with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row places365-resnet18,https://huggingface.co/litert-community/Places365-ResNet18-LiteRT/resolve/main/4e5f1b5807a1800eb359eddfc1c2efa9819c80633fb304e86669f789f56433eb.tflite,1x3x224x224:float32,mit, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/places365-resnet18.json with the sweep table on this page.