TSM Special Topic - OUSW R&E CDAO Enterprise Autonomy Division: Advanced Data Labeling

The Chief Digital and Artificial Intelligence Office (CDAO) Enterprise Autonomy Division is seeking advanced data labeling capabilities to prepare multimodal imagery for training and testing computer vision algorithms used within autonomous systems. The desired solution should address the problem of limited labeled data for training AI algorithms and provide a scalable and novel approach to labeling imagery data. The solution should also demonstrate how it can enable advanced autonomous behaviors and provide examples of systems that have been trained using the labeling capabilities. Some key aspects of the desired solution include: • Labeling of fields and image characteristics necessary for informing autonomous platform maneuvers and precision guidance • Ability to operate on a government-owned IL5 network • Scalability and novelty of the solution • Ability to provide labels with specific formats (e.g., COCO-style JSON, DOTA-style extension, BOP-style extension) • Business model that supports long-term viability and encourages broader adoption of the solution