This repository consists of a Object Detection Project for Multiclass Classification using Deep Learning approach. We trained three models ResNet50, InceptionV3 and EfficientNetB3 on the dataset consisting of approx. 90,000 images having 131 class (fruits and vegetables) to be classified.
The Dataset is available here: Fruits 360
vivekprajapati2048/Fruit-Identification-System
This repository consists of a Object Detection Project for Multiclass Classification using Deep Learning approach. We trained three models ResNet50, InceptionV3 and EfficientNetB3 on the dataset consisting of approx. 90,000 images having 131 class (fruits and vegetables) to be classified.
Jupyter Notebook