Labellerr

What Labellerr is

Labellerr is a data labeling and annotation platform for machine-learning teams preparing training data. Projects can use images, video, PDFs, text, and audio, with image formats including JPG, JPEG, PNG, BMP, and TIFF. Annotation options include bounding boxes, polygons, polylines, keypoints, classification, segmentation, and object detection. Automated labeling includes prompt-based and model-assisted methods, along with active learning; the platform says it natively supports Meta’s SAM, SAM 2, and SAM 3. A Python SDK supports dataset and workflow management in ML pipelines. Export options include COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats. AWS S3, Google Cloud Storage, and Azure Blob are listed as remote storage options. Integrations with GCP Vertex AI, AWS SageMaker, and Azure ML are add-ons for applicable plans. The free Researcher Plan includes 2,500 data credits, one seat, one workspace, and up to 10 projects. Pro costs $9,999 annually and includes 100,000 data credits; unused credits do not carry over.