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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