DataVLab Product Information

DataVLab: AI-Powered Image Annotation & Data Labeling

DataVLab delivers high-quality, scalable, and ethical data labeling services to elevate AI and machine learning models. Specialized in image annotation, video annotation, 3D annotation, NLP & text annotation, and GenAI & LLM solutions, DataVLab brings human expertise together with AI-assisted automation to ensure precise, efficient labeling across diverse industries.


How It Works

  1. Defining Project – Analyze project scope, objectives, and dataset to determine the best annotation approach.
  2. Sampling & Calibration – Conduct small-scale annotations to refine guidelines for consistency and accuracy.
  3. Annotation – Apply high-quality labels using suitable annotation techniques (bounding boxes, polygons, segmentation, etc.).
  4. Review & Assurance – Rigorous quality control to ensure precision and alignment with specs.
  5. Delivery – Provide fully annotated data in the preferred format, ready for seamless model integration.

This workflow enables scalable, repeatable labeling with strong quality guarantees.


Core Capabilities

  • Image Annotation: Bounding boxes, polygons, segmentation for computer vision tasks.
  • Video Annotation: Frame-by-frame tracking and object recognition for dynamic data.
  • 3D Annotation: Point cloud and LiDAR labeling for autonomous systems and spatial AI.
  • Custom AI Projects: Tailored annotation workflows for unique AI challenges.
  • NLP & Text Annotation: Entity recognition, sentiment analysis, and document structuring.
  • GenAI & LLM Solutions: Training data and fine-tuning support for large language models and generative AI.
  • AI-Assisted Labeling: Human-in-the-loop with automation to boost speed and consistency.
  • QA & Quality Control: Tailored, project-specific quality protocols.
  • Ethical Outsourcing: Fair working conditions and transparent processes.
  • Global Team: Industry-trained annotators with domain expertise.
  • Scalable for Teams: Workflows designed to scale from small to enterprise-level datasets.
  • Data Security & Compliance: Emphasis on responsible data handling.

Industries & Applications

  • Healthcare: High-quality image annotation for medical AI.
  • Agriculture & Environment: Precision agriculture & environmental monitoring.
  • Retail & E-commerce: AI-powered image recognition for shopping experiences and inventory insights.
  • Fashion & Luxury: AI-driven product recognition and tagging.
  • Insurance: AI-powered risk assessment & claims automation.
  • Satellite & Aerial: Geospatial labeling for urban planning and disaster management.
  • Autonomous Vehicles: High-quality data for safer autonomous driving and predictive maintenance.
  • Energy: AI-enhanced maintenance and resource optimization.

Why DataVLab

  • Up to 10x faster labeling through AI-assisted processes.
  • Optimized labeling for high-performance AI across industries.
  • Seamless integration of manual expertise and automated precision.
  • Scalable workflows from small projects to enterprise-scale datasets.
  • Global annotator network with domain-specific knowledge.

Deliverables & Formats

  • Annotated datasets ready for model training in your preferred formats.
  • Support for common CV formats (COCO, VOC, YOLO, etc.), along with custom schemas.
  • Documentation and project reports to accompany datasets.

How to Get Started

  • Get a free quote and discuss your project scope with DataVLab.
  • Define labeling requirements, accuracy targets, and delivery timelines.
  • Begin the annotation workflow and monitor progress with QA checkpoints.

Safety and Legal Considerations

  • Data handling adheres to ethical outsourcing practices.
  • Annotations are performed to ensure privacy and compliance with project requirements.

Core Features

  • High-quality image, video, and 3D annotation across multiple formats
  • NLP & Text Annotation for smarter language models
  • GenAI & LLM Solutions: data preparation and fine-tuning support
  • AI-assisted labeling to accelerate projects while maintaining quality
  • Rigorous QA and project-specific quality controls
  • Ethical outsourcing with fair conditions and transparency
  • Scalable workflows for teams of any size
  • Global annotator network with domain expertise
  • Flexible delivery formats and integration support