← Back to Services
Service 02

Data Annotation

Precision labeling for image, video, text, and audio datasets — with multi-level QA pipelines delivering training-ready data at any scale.

99%+
Annotation Accuracy
4
Annotation Modalities
Multi-Level
QA Pipeline
Scalable
From Pilot to Production

Annotation Services

Every annotation type your model training requires, delivered with enterprise-grade precision.

Image Annotation

Bounding boxes, polygons, semantic segmentation, keypoint labeling, and classification for computer vision model training.

  • Bounding box & polygon
  • Semantic segmentation
  • Instance segmentation
  • Keypoint annotation
  • Image classification

Video Annotation

Frame-by-frame object tracking, action recognition labeling, and temporal annotation for video AI applications.

  • Object tracking
  • Action recognition
  • Temporal segmentation
  • Event detection
  • Frame-level metadata

Text Annotation

NER, intent classification, sentiment labeling, relation extraction, and coreference resolution for NLP model training.

  • Named Entity Recognition
  • Intent classification
  • Sentiment analysis
  • Relation extraction
  • Coreference resolution

Audio Annotation

Speaker diarization, emotion labeling, sound event detection, and transcription-aligned annotation for audio AI.

  • Speaker diarization
  • Emotion labeling
  • Sound event detection
  • Transcription alignment
  • Language identification

Bounding Box Labeling

High-throughput bounding box annotation for object detection models — precise, consistent, and scalable.

  • 2D & 3D bounding boxes
  • Multi-class labeling
  • Occlusion handling
  • Attribute tagging
  • Quality-checked output

Semantic Segmentation

Pixel-level image segmentation for autonomous driving, medical imaging, satellite imagery, and scene understanding.

  • Pixel-perfect masks
  • Multi-class segmentation
  • Panoptic segmentation
  • Medical imaging support
  • Satellite & aerial imagery

Our Annotation QA Pipeline

Every annotation batch passes through a rigorous multi-stage review before delivery.

01

Annotator Training

Task-specific guidelines and calibration sessions before project start.

02

Annotation

Trained annotators label data following strict project specifications.

03

Peer Review

Independent annotators cross-check a sample of all labeled data.

04

Expert QA

Senior QA specialists validate final batches before client delivery.

Platform Compatible:
CVATLabelboxScale AIRoboflowSuperAnnotateCustom Platforms

Start Your Annotation Project

Share your dataset requirements and we'll scope a precision annotation solution for your AI pipeline.

Get a Custom Quote