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CNN-powered image classification

Identify vegetables instantly, with confidence.

VeggieAI pairs a polished UI with a production-ready model service. Choose a resolution, upload a photo, and get a top label plus confidence breakdowns in seconds.

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Fast path

23x23 model

Accuracy path

101x101 model

Designed for

Clear UX

Fresh produce at a market stall

Typical latency

0ms

Designed for a feel-fast UX while the model runs elsewhere.

Classes supported

0

A focused label set for clean, interpretable results.

Two resolutions

0

Compare speed vs accuracy - and learn when models disagree.

Confidence-first UI

0%

Clear scores, stability checks, and uncertainty gating.

Model capabilities

A lightweight workflow with thoughtful details: fast iteration, transparent outputs, and clean visuals.

High accuracy

Confidence-first outputs so you can see how sure the model is, not just what it picked.

Instant results

Built for speed with a dedicated model-serving service, keeping UI interactions responsive.

Two resolutions

Pick 23x23 for quick feedback or 101x101 when you want the most precise classification.

How it works

A streamlined flow that matches how you actually use it: choose a model, upload, review results.

Select a model

Switch between fast and accurate paths depending on your image and urgency.

Upload a photo

Drag and drop or browse. The UI previews your image before you run classification.

Review the breakdown

Get the top label, confidence score, and a shortlist of alternatives at a glance.

Clean and readable results Built for real photos Optimized for fast workflows

Try it in under a minute

Jump into the predictor and see the experience end-to-end.

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Why vegetables?

Image classification has practical value: inventory tagging, diet tracking, nutrition education, and accessibility tools.

Rich in nutrients

Vitamins, minerals, and fiber - the fundamentals done right.

Supports wellbeing

Healthier habits are easier when food choices are visible.

Weight management

Low-calorie, high-volume meals that feel satisfying.

Digestive health

Fiber supports gut health and steady energy through the day.

Green vegetables arranged on a surface

Dashboard preview

A quick look at your most recent predictions (saved to your account when signed in).

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Next actions

Keep the momentum: batch uploads, compare mode, and confidence checks.

Futuristic UI
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UI readiness High
Model paths 23x23 / 101x101
Storage SQLite

Ready to get started?

Sign up and start classifying with a smooth, modern workflow.

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FAQ

Quick answers before you jump into the predictor.

23x23 is optimized for speed and quick feedback. 101x101 keeps more detail and tends to perform better when texture and edges matter (leafy greens, cluttered backgrounds, partial occlusion).

If the top confidence is below a threshold (or the two models disagree), the UI flags the result as uncertain. It's a heuristic "is this even a vegetable?" gate to encourage better inputs.

Uploaded images are stored for your account and can be shown again in your history.