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Data annotation services overview

Every Modality, One Trusted Partner

Centric Labs provides managed data annotation services spanning images, video, text, audio, and 3D point clouds. Our dedicated teams combine domain expertise with AI-assisted tooling to deliver production-ready labeled datasets that meet the accuracy, speed, and security requirements of enterprise AI programs. From computer vision pipelines to LLM fine-tuning workflows, we handle annotation complexity so your ML engineers can focus on model development.

  • Multi-modal coverage: image, video, text, audio, and 3D
  • Named, managed teams — not anonymous crowdsourcing
  • Four-stage quality pipeline with 98%+ accuracy SLAs
  • SOC 2 aligned security with air-gapped options
  • Flexible output formats: COCO, Pascal VOC, YOLO, custom
Annotation Modalities

Full-Spectrum Annotation Capabilities

We cover every data type your AI pipeline requires, with specialized teams and tooling for each modality.

Image Annotation

Bounding boxes, polygons, semantic segmentation, keypoints, and instance segmentation for computer vision models across healthcare, retail, and autonomous driving.

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Video Annotation

Frame-by-frame labeling, object tracking with interpolation, activity recognition, and temporal event annotation for surveillance and autonomous systems.

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Text & NLP Annotation

Named entity recognition, sentiment analysis, text classification, relation extraction, and coreference resolution for NLP and language model training.

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Audio Annotation

Speech transcription, speaker diarization, emotion detection, intent classification, and sound event labeling for voice AI and conversational systems.

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3D Point Cloud

Cuboid annotation, semantic segmentation, and LiDAR-camera sensor fusion for autonomous vehicles, robotics, and spatial mapping applications.

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Managed Teams

Dedicated, trained annotation workforces with project managers, quality analysts, and domain specialists embedded in your workflow for consistent output.

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FAQ

Frequently Asked Questions

We support all major annotation types across five modalities: bounding boxes, polygons, semantic and instance segmentation, keypoints, and OCR for images; frame-by-frame tracking and temporal events for video; NER, sentiment, and classification for text; transcription and diarization for audio; and cuboid and segmentation for 3D point clouds.
Our standard SLA is 98% accuracy or higher, measured through inter-annotator agreement scores and automated validation. For mission-critical use cases such as medical imaging or autonomous driving, we offer custom SLAs with enhanced multi-stage review and domain-specialist audits.
Most projects are staffed and producing annotated data within 5 to 7 business days. We begin with taxonomy review, annotator onboarding, and a calibration batch to align quality expectations before full-scale production begins.
Yes. We integrate with Label Studio, CVAT, Labelbox, Scale AI, and custom annotation platforms via API. We support all standard output formats including COCO, Pascal VOC, YOLO, and custom JSON schemas, and can connect directly to your cloud storage (S3, GCS, Azure Blob).
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AI Training Data

Custom datasets, evaluation benchmarks, and production-quality training corpora built to your specifications.

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LLM Training Data

Fine-tuning corpora, instruction datasets, and preference pairs for large language model development.

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RLHF & Human Feedback

Preference ranking, safety evaluation, and alignment data for reinforcement learning from human feedback.

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Ready to See Our Quality Firsthand?

Start with a free pilot — we'll annotate a sample of your data, define acceptance criteria, and demonstrate our managed team approach at no cost.