AI Image Classifier

Identify image content locally in the browser with the open-source MobileNetV2 ONNX model, preferring WebNN NPU/GPU while never uploading images

Category

Image Tools

How to Use

  1. Drag or select a PNG, JPG, or WebP image
  2. Choose Auto backend to try WebNN NPU/GPU first
  3. Click Classify Image to view Top-K labels and confidence scores
  4. Download JSON results for records or human review

Examples

  • Identify a photo subject

    Input: Upload a product or everyday photo

    Output: Returns likely ImageNet labels with confidence scores

  • Local image classification

    Input: Browser supports WebNN

    Output: Runs local WebNN inference first and does not upload the image

FAQ

Is my image uploaded to a server?
No. Decoding, preprocessing, model inference, and ranking happen locally in the browser; the browser only downloads open-source model weights.
Can it identify every object?
No. This version uses MobileNetV2 ImageNet classification, so it works best for common objects, animals, food, and broad scene categories.
Will it always use the NPU?
No. Auto mode tries WebNN NPU/GPU first. If the browser, driver, or model operators are unsupported, it falls back to WASM.

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