Fruits Detection using CNN.
GPL-3.0 License
Fruits Detection using CNN.
Dataset used :
A dataset of images containing fruits and vegetables
The Dataset Can be found over : https://www.kaggle.com/moltean/fruits and https://github.com/Horea94/Fruit-Images-Dataset
This is the work of Horea Muresan, Mihai Oltean, Fruit recognition from images using deep learning, Acta Univ. Sapientiae, Informatica Vol. 10, Issue 1, pp. 26-42, 2018.
The paper introduces the dataset and an implementation of a Neural Network trained to recognized the fruits in the dataset.
The requirements.txt file, has all the packages that were in the environment at the time of training.
The Images to be predicted are put under the fruits/test_images folder.
This model is pretrained with and weights is a H5py file. Named 'Fruits_360.h5'.
The fruits.py file contains the Network Model and was used to train it.