Classify an image with ViT, locally

ViT-base, ResNet-50 and MobileViT-small are the standard ImageNet-1k classifiers, and all three run here on your GPU. Drop in a photo and get the top-k labels with probabilities — a good reference point when you are comparing architectures, checking how a model behaves on your own data, or teaching what a convolutional network and a vision transformer each get wrong. MobileViT is the one to pick on a phone or an integrated GPU.

image classification onlinevit demoresnet-50 browserimagenet classifier freeidentify object in photo aimobilevit demophoto recognition tool

Frequently asked questions

What labels can it output?

The 1,000 ImageNet-1k classes. That covers a lot of animals, objects and food, and almost no brand names, people or abstract concepts. For arbitrary labels, use zero-shot image classification with CLIP.

Is it really free, and is there a usage limit?

It is free and there is no per-request limit, because we are not paying for the compute — your own GPU is. The only cost is the one-time model download, which your browser caches.

Models available for this task

ViT NSFW Detector — AdamCodd/vit-base-nsfw-detector, 89 MB, 86M params
ViT Base 224 — Xenova/vit-base-patch16-224, 88 MB, 86M params
Facial Emotion ViT — Xenova/facial_emotions_image_detection, 88 MB, 86M params
ResNet-50 — Xenova/resnet-50, 26 MB, 25.6M params
MobileViT Small — Xenova/mobilevit-small, 23 MB, 5.6M params
Swin Food-101 — onnx-community/swin-finetuned-food101-ONNX, 93 MB

Explore the rest of the playground

Vision models

Background removal — Remove a background without uploading the photo
Object detection — Detect objects in an image, on your own hardware
Zero-shot object detection — Detect anything you can describe, with no training
Zero-shot image classification — Classify images against labels you invent, using CLIP
Image segmentation — Segment an image into labelled regions, locally
Depth estimation — Generate a depth map from a single photo
Image to 3D (point cloud) — Turn a single photo into a 3D scene you can orbit
Image captioning — Generate a caption or alt text for any image
OCR (image to text) — Extract text from images without uploading them

Guides & comparisons

Model catalog — The model catalog: what actually runs in a browser
WebGPU vs WASM — WebGPU vs WebAssembly for running models in a browser
Browser AI vs cloud API — Browser inference vs a hosted API: an honest comparison
Transformers.js vs WebLLM — Transformers.js vs WebLLM
Whisper model sizes — Choosing a Whisper size for browser transcription
fp32 vs q8 vs q4 — Picking a quantization level for browser inference
Why no image generation — Why this playground has no text-to-image generation
FAQ — Frequently asked questions about browser-based AI
About — About this project

This playground needs JavaScript and WebGPU. Models are downloaded to your browser and executed on your own GPU, so there is nothing to show without a script engine. Enable JavaScript, or read the FAQ for what the site does.