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The dataset was created collecting 240 images of 6 different fruits. 3/4 of the images were used for the training and the rest was used for test purpose. Training the model with a greater number of images would have led to a better accuracy but it wouldn't have changed the inference time.
Several measures were taken to counter the high overfitting tendency due to the small amount of images. For instance, new images were synthesized from the existing ones to simulate a larger dataset, as shown below:[[File:Drawio200% augmentation=== Model conversion ===png|none|thumb|400x400px|New images synthesized from an existing one. Original image by tookapic from Pixabay.com]]
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