Classification Model for Chips/Juice

01The Challenge

The goal was to create a model that could accurately classify images of chips and juice, which required a large dataset and a robust model.

02The Solution

We used Roboflow to annotate a large dataset of images and trained a YOLO model to classify the images. The result is a highly accurate model that can distinguish between different types of chips and juice.

03Key Features

• Image classification
• High accuracy
• Built with Roboflow and YOLO