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CNN Classifier

Upload an image to identify vegetables

Choose a model resolution, upload a photo, and review the predicted label plus confidence breakdown. Sign in to save your prediction history to your account.

Select model resolution

Pick speed or accuracy before you upload.

Model service ready

23x23

Fast processing - great for quick checks

Typical: ~95% accuracy

101x101

Higher accuracy - better detail

Typical: ~99% accuracy

Auto-model recommendation

Upload an image to get a recommendation

We'll analyze texture and edge detail to suggest the best model.

Upload images (batch-ready)

Drop one or more files or click to browse. JPG/PNG/WebP up to 10MB each.

Drop images or click to browse

No images selected

Single runs 1 prediction on the active image. Smart Fridge splits into regions and saves each tile separately.

Batch queue

0 images

Click an image to make it active for Compare/Smart Fridge.

No images in the queue yet.

Sensitivity

100%

Adjust image quality to test robustness (lower values downscale then upscale before inference).

Local preview Account storage Toggle models anytime

Prediction results

Your label and confidence breakdown appear here.

101x101 (accurate)

No prediction yet

Upload one or more images to see results.

Better photos = better results

Use natural lighting and keep the vegetable centered for best accuracy.

Multiple crops supported

Even if the item isn't perfectly framed, the UI keeps the flow simple.

Clear confidence breakdown

Confidence isn't a guarantee - it's context for smarter decisions.

Recent activity

Your latest predictions, ready to review. Open Profile for deeper insights and charts.

Open Profile

Workflow boosters

Small UI improvements that make the two-model setup feel powerful.

Pro tips
Batch mode Queue + cards
Compare mode Disagreement clues
Smart Fridge Beta