SUPA Features

Based on 11 SUPA reviews. Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.

Based on 11 SUPA reviews. Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more.

Ensures the data is of a high quality as compared to benchmark. This feature was mentioned in 11 SUPA reviews.

Gives user the ability to review and edit labels.

Based on 10 SUPA reviews. Has the ability to place imaginary boxes or polygons around objects or pixels in an image.

As reported in 10 SUPA reviews. has the ability to detect objects within images.

Supports a range of different types of images (satelite, thermal cameras, etc.)