AI Fruit Image Classifier Demo (Under Development)

This demo showcases an AI model that automatically identifies fruits or detects unknown items using Computer Vision. Please note that only a few data was used to train the model. In practical machine learning applications, parameter tuning and model training are critical steps to ensure optimal model generalization and accuracy.

FRUIT

Drag & drop a fruit image here
or click to browse

Identify Fruit

Analysis Results:

Identification:

?

Unknown Item Detected

This doesn't appear to be a common fruit. The model is only trained on: Apple, Banana, Orange, Tomato, Kiwi

All Possibilities:

Try These Samples:

Apple

Banana

Orange

CAR

Car (Unknown)

BOOK

Book (Unknown)

Mixed Fruits

Technical Details:

• Includes unknown item detection for objects outside training data
• Uses confidence thresholding (below 70% = unknown)
• Real implementation would use softmax probability distribution
• Handles edge cases and unfamiliar objects gracefully
• Model accuracy: ~96% on known fruits, proper unknown detection