/Grocery-Classifier

Primary LanguageJupyter NotebookMIT LicenseMIT

Grocery-Classifier-

This project is built as part of Aarush Challange, a Machine Learning Challenge organised by SRM University.
The Image Classifier model developed is capable of classifying 19 categories of grocery items with 93% Accuracy and makes use of ResNet50 and Efficientnet models pretrained layers available on tensorflow_hub.

Sample: