We have created millions of annotations on images and panoramas from the world's largest supermarkets. Our workflows, tools and annotators are highly developed for high quality, low cost retail annotations. Join our platform to manage your retail annotations projects today.
Shelf scanning robots and mobile devices use computer vision to analyze and audit retail displays. Our image annotations train them to detect labels, products, shelves, stacks, and sections, as well as marking out of stock or misplaced items.
Count and analyze the behavior of shoppers. Human annotated videos track each individual across multiple cameras and angles and each behavior or action they make. These annotations teach AI how to recognize each action shoppers make.
Automatically recognizing each interaction a shopper makes with a product requires detailed hand and body annotations to train algorithms. This data must be of the highest quality, which requires efficient workflows of expert human annotators.
Manage and monitor, in real time, all your retail annotation projects in one pace. Upload your data, manage your projects, and monitor the progress and quality of each annotation.