Label Your Data

Label Your Data was hired by 42DM, a global B2B marketing agency, to label 100,000 hours of store footage. The company needed to build an analytical marketing solution for a retail client, which involved training in-store cameras to detect and categorize interactions with products. Label Your Data was chosen based on their high ratings, geographical location, and culture fit. The collaboration was successful, achieving the goal of labeling the footage, which could then be transformed into a Machine Learning dataset for product engagement metrics.

SimplyDepo, a unified B2B platform for field sales and retail execution teams, hired Label Your Data to label over 470,000 retail product images. The goal was to structure and label product catalogs to facilitate object detection training for users involved in machine learning. Label Your Data was chosen due to their good value for cost, fast response, and a positive referral. The team successfully annotated images with precise bounding boxes and class labels for each retail product in the dataset.

Nex, a game development firm focusing on fun, social, and interactive content, enlisted Label Your Data to collect data for skeletal movement and annotate datasets for pose estimation. The company faced challenges in capturing unique user motions with limited training data for pose estimation model development. Label Your Data was selected due to their custom offerings, including no minimum order quantity or monthly order commitment. The project was successful, overcoming the challenge of integrating vast public data effectively, and facilitating accurate motion-to-gameplay translation.