Python-CNN-Image-Classification

Fruits Detection using CNN model.

Dataset used :

Fruits 360

A dataset of images consists of various fruits and vegetables.

About Dataset

• Total number of images: 90483.
• Training set size: 67692 images (one fruit or vegetable per image).
• Test set size: 22688 images (one fruit or vegetable per image).
• Multi-fruits set size: 103 images (more than one fruit (or fruit class) per image)
• Number of classes: 131 (fruits and vegetables).
• Image size: 100x100 pixels.

Result

You can have this dataset from : https://www.kaggle.com/moltean/fruits