Bildklassifizierung

Klassifizieren Sie ein Bild mit einem Vision-Modell auf dem Gerät (Top-5-Labels mit Scores). Das Bild verlässt Ihr Gerät nie; das Modell wird bei der ersten Nutzung heruntergeladen.

First use downloads the ViT image-classification model (Xenova/vit-base-patch16-224, quantized build) from Hugging Face. After the download, classification runs entirely on your device and your image is never uploaded anywhere.

Choose an image (or take a photo)

So funktioniert es

Choose an image file (on a phone you can also take a photo).
Press Classify. The first run downloads the model.
The top 5 predictions appear with their scores.

Hinweise

The model is Xenova/vit-base-patch16-224 (the 1,000 ImageNet-1k classes). Only the first use downloads the model files from Hugging Face; classification itself runs on-device with Transformers.js and your image is never uploaded. Labels are English class names, and scores are the model's confidence, not a guarantee of correctness.

Häufige Fragen

Why are some labels odd or wrong?: ImageNet classes are very fine-grained (dog breeds, car models, …) and a general model misses on subjects outside its strengths. Treat results as indicative.
The download is slow or fails: The model download can take a while. Retry on a good connection. Downloaded files are cached by the browser, so later visits start much faster.