Multimodal
Annotation
Image, video, audio and document annotation by trained human annotators — with schema-enforced labelling, QA review and a full audit trail from task definition to final delivery.
Four modalities, one governed delivery model
Vision models, audio classifiers and document parsers all run through one governed Fuzu Atlas delivery model with consistent quality standards across modalities.
Image
Bounding boxes, segmentation masks, keypoints, classification labels and scene description captioning.
Video
Frame-level annotation, action labelling, temporal segmentation and object tracking across video sequences.
Audio
Transcription, speaker diarization, emotion tagging, sound event classification and dialect labelling.
Document
OCR correction, form parsing, table extraction, entity recognition in unstructured documents and layout labelling.
Governed annotation pipeline
Every multimodal annotation workflow follows a five-stage pipeline — no ad-hoc tasking, no anonymous crowd.
Schema Design
Label schema, taxonomy and edge case guidelines co-designed with your team before any annotation begins.
Annotator Matching
Annotators matched by task type, domain and modality. Specialised visual or audio skills tested before assignment.
Calibration Batch
Small calibration batch reviewed jointly. Ambiguities resolved and schema updated before full production.
Production + QA
Production annotation with independent QA review. Inter-annotator agreement tracked per label type.
Verified Delivery
Output delivered with quality metrics, error taxonomy and rework completion status. Audit trail included.
Commonly requested annotation programs
3D bounding boxes, lane markings, pedestrian segmentation and traffic sign classification for autonomous driving pipelines.
Image-caption pairs, visual question answering (VQA) datasets and image instruction tuning data for multimodal LLMs.
Multi-language transcription with dialect and accent tagging, word-error-rate evaluation and accent coverage testing.
Structured field extraction from financial, legal and medical documents. Table and entity annotation for document understanding models.
Ready to annotate at scale?
Start with a focused PoC — schema design, calibration batch and first verified deliverable in weeks.