Image, video, 3D, LiDAR, audio transcription, text annotation and LLM evaluation.
Image, video, 3D, LiDAR, audio transcription, text annotation and LLM evaluation, each with its own labeling workflow and QA layer.
Bounding boxes, polygons, polylines, keypoints and segmentation masks for object detection and segmentation.
Frame-level and temporal labeling for action recognition, tracking and video understanding.
Cuboid and point-cloud annotation for autonomous systems and robotics.
Verbatim transcription, speaker diarization and speech labeling for ASR and conversational AI.
Named-entity recognition, intent and slot tagging, classification and sentiment for NLP and LLM programs.
Prompt-response labeling, ranking and human feedback for large language model evaluation.
Label taxonomy, attributes and annotation guidelines defined with the client.
Pilot on hardest edge cases; guidelines sharpened from real disagreement.
Trained annotators apply labels under reviewer oversight.
Annotator, reviewer and senior QA with sampling and rework loops.
Accepted labels and metadata delivered securely to the client.
Share your label taxonomy, modality and volume requirements.