Project information
- Category: Deep Learning Project
- Project end date: 26 September, 2020
Retail Product Classification
Created a Retail product classification model with >90% accuracy.It was trained on the image classification model Yolov5.I used RPC dataset to train the model and created a plain flask web application with realtime detection as well as an upload option to test the model on any image.
Click here to view the github repo