High-quality training data starts with human review. Lusion AI provides data annotation and data labeling for computer vision, speech, text, audio and healthcare AI programs, with multi-level quality assurance and secure delivery.
We support structured labeling for the modalities and use cases that power modern AI systems.
Bounding boxes, polygons, polylines, keypoints and segmentation masks for detection, classification and segmentation models.
Frame-level and temporal labeling for action recognition, tracking and video understanding pipelines.
Entity recognition, intent classification, sentiment tagging and document annotation for language models and NLP systems.
Transcription, speaker diarization and speech labeling for ASR, speech-to-text and conversational AI training.
Cuboid and point-cloud annotation for autonomous systems, robotics and spatial AI programs.
Review-supported labeling for medical imaging and clinical text, handled under project-specific confidentiality terms.
Task definitions, output formats, reviewer coverage and acceptance criteria are agreed during project scoping.
Image classification, bounding boxes, polygons, polylines, keypoints and landmarks.
Semantic and instance masks, object boundaries and project-specific segmentation labels.
3D cuboids, point-cloud segmentation and spatial relationships.
Frame-level annotation, object tracking, temporal events and action labels.
Text regions, document layout, field extraction and OCR verification.
Audio transcription, diarization, translation, text labeling and LLM human evaluation.
Structured response quality, relevance, preference and instruction-following review.
Guideline calibration, reviewer sampling, senior QA, validation and rework.
We define the label taxonomy, attribute set, edge-case rules and annotation guidelines with your team.
A pilot batch runs against your hardest samples first. Guidelines are sharpened from real disagreement.
Trained annotators apply labels at scale under documented guidelines and daily reviewer oversight.
Multi-level QA — annotator, reviewer and senior QA — with sampling, consistency checks and rework loops.
Share your annotation requirements to discuss scope, quality criteria and possible pilot options.