Image Annotation Application in Retail Environment

 Image Annotation Application

Image annotation is the foundation behind many AI products and is one of the most essential processes in Computer Vision. In image annotation, data labelers use tags or metadata to identify characteristics of the data that we want our AI model to learn to recognize. These tagged images are then used to train the AI to identify those characteristics when presented with fresh, unlabeled data. 

With the increasing requirement of image data for companies pursuing AI, the number of projects relying on image annotation has grown exponentially. Creating a comprehensive, efficient image annotation process has become increasingly important within this area of machine learning specialization. 

Project Details: 

The project aims to create a graphical image annotation tool using streamlit. The annotations are saved in XML files which can later be used to train models to learn to recognize items in retail environment

Application Demo: 

Github Code: https://github.com/Shahnab/ImageAnnotation