Classifies images on fruits using the VGG16 model
The dataset consists of 39065 images out of which 29228 were training images while 9837 were used for validation.
The dataset consists of 60 fruit categories. The resolution of the images was 100x100 pixels.
The training accuracy was obtained as: 97.31470064392382 %
The validation accuracy was obtained as: 92.73208469055375 %
Trainig and validation loss:
Training and validation accuracies:
Prediction:
Dataset and Credits: https://www.kaggle.com/moltean/fruits