Frequently asked questions

Labellerr’s platform supports computer vision data types such as images, video, documents, geospatial, LIDAR, medical imaging etc.

Labellerr’s platform supports bounding box, key points, segmentation, poly lines, classifications, polygons, 3d cuboid, etc.

Yes, we provide curated 3rd party data annotation workforce best suited for your use case and industry. We don’t work via crowdsource model. All the workforce can easily accessible via our platform.

Yes, we provide managed service around computer vision AI.

Yes, we provide on-premise solution.

Yes.

All our data labeling workforce partners come with all necessary compliances like ISO/IEC 27001:2013, ISO/IEC 9001:2015, GDPR, SOC-2. We put data security at paramount importance, protecting data as early as possible on ingestion and ensuring that only authorized users and applications can access the data only when and as needed.

Labellerr has partnership and integration already available for all the major cloud providers for ex-AWS, GCP, Azure etc. Other integrations are also available based on request.

Yes.

Our platform provide a high level of transparency and give user level, data level and activity level analytics. We have multiple AI powered method to compare and check annotation quality in real time.

Our system support JSON, CSV, YOLO V5, COCO as a standard output format. If you have any custom requirement please share.

Yes.