SUPA Features
Quality (4)
Labeler Quality
Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.
Task Quality
Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more.
Data Quality
Ensures the data is of a high quality as compared to benchmark.
Human-in-the-Loop
Gives user the ability to review and edit labels.
Image Annotation (3)
Image Segmentation
Has the ability to place imaginary boxes or polygons around objects or pixels in an image.
Object Detection
has the ability to detect objects within images.
Data Types
Supports a range of different types of images (satelite, thermal cameras, etc.)
Categories on G2
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