Scale's Solution for Aerial Object Tracking

Aerial object tracking is a computer vision task focused on identifying and following objects across video frames captured from an aerial perspective. Developing effective models for this requires large volumes of high-quality, accurately labeled data where objects are annotated with bounding boxes and unique IDs. This annotated data is crucial for training AI systems to perform in complex scenarios with moving objects, varying altitudes, and potential occlusions. The primary challenge in this field is often acquiring and preparing this specialized data at scale.