Optimize 2D Object Tracking With Bounding Box Annotation

Bounding boxes are a well-established labeling and annotation technique for computer vision projects. Bounding box labels prepare data for all manner of object detection tasks, including self-driving vehicles, image labeling for visual search, automated insurance claims checking, and medical imaging, to name but a few.

Image bounding box labeling is often considered a straightforward task, but modern 3D bounding box detection models require the service and skills of professional labelers combined with the latest in labeling software. Even for seemingly simple projects, the quality of your image training and testing datasets relies on the quality of your labels, and every label matters.

2D and 3D Bounding Boxes

From more straightforward 2D bounding box labeling tasks to more complex 3D bounding boxes, our in-house team ensures pixel-perfect tightness, consistent variation in box size, and reduced overlap between boxes, maximizing the quality of our datasets.  

Bounding box object detection tasks range considerably in size and scope - Aya Data will work with you to establish your unique project’s needs before mobilizing our team of professional labelers and data practitioners.

Our bounding box services provide the consistency and quality you need to train the next generation of computer vision models.