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Top Tools for 2D Video Annotation: A Complete Guide

2D video annotation is vital for training robust AI models in industries such as autonomous vehicles, medical imaging, surveillance systems, sports analytics, retail analytics, and entertainment. Accurate annotation of video data ensures precise object tracking, event detection, behavioral analysis, and enhanced AI model effectiveness.

Top Tools for 2D Video Annotation:

1. iMerit (Ango Hub)

iMerit’s Ango Hub is an advanced platform purpose-built for complex, high-volume video annotation tasks. With customizable workflows, automation capabilities, and PACS-like viewer integrations, it supports industry-grade use cases, especially in medical imaging, autonomous mobility, in-cabin monitoring, and diagnostics.

Ango Hub video annotation tool marking a driver’s facial features and eye status in a night driving scene

Features:

  • Comprehensive Format Support: Supports multiple video formats, including MP4, MOV, AVI, and specialized medical imaging formats.
  • Advanced Automation Capabilities: Automated object tracking, frame-by-frame interpolation, smart segmentation, automated bounding box detection, and AI-assisted object annotation.
  • Medical-Specific Annotation: Specialized support for annotating medical videos, including ultrasound, endoscopic procedures, surgical recordings, and diagnostic imaging.
  • Pre-labeling Techniques: Intelligent automated annotation to streamline and accelerate the annotation process, significantly reducing manual effort.
  • Integration Capabilities: Seamless integration with AI development pipelines, cloud storage systems, real-time analytics platforms, medical imaging systems, and PACS-like video viewers.
  • Highly Skilled Workforce: Skilled annotation experts across diverse industries, including clinical specialists, ensure accurate and contextually relevant annotations.
  • Security & Compliance: Adherence to strict data privacy standards (HIPAA), comprehensive audit logging, and secure access control systems.

Best Use Case: Complex, high-volume video annotation tasks across industries, particularly those demanding accuracy, scalability, compliance, and expert oversight, including medical imaging.

2. Scale AI

Scale AI delivers large-scale managed annotation services optimized for video and sensor data. Its blend of AI-assisted labeling and human QA ensures high throughput without sacrificing consistency. Used widely in autonomous vehicles and defense.

Features:

  • High-volume managed annotation
  • AI-driven annotation assistance
  • Quality control for consistent annotations
  • Scalable to enterprise-level datasets

Best Use Case: Large-scale video annotation projects requiring rigorous quality and consistency.

3. Labelbox

Labelbox offers an enterprise-grade video annotation platform with a rich ecosystem of tools for video tagging, segmentation, and classification. Its strength lies in integration flexibility, allowing seamless sync with ML pipelines, databases, and cloud storage.

Ideal for enterprises that require tight version control, collaboration, and audit trails.

Features:

  • Customizable tools for object tracking and segmentation
  • Enterprise-level workflow integration
  • High standards of security and compliance
  • Annotation SDK and plugin support

Best Use Case: Complex, enterprise-level video annotation tasks requiring extensive workflow customization.

4. Dataloop

Dataloop is known for its intuitive interface, real-time collaboration features, and automation-first approach. It supports smart tracking, event tagging, and dataset versioning, making it a strong choice for projects with high data complexity or time-series dependencies.

Features:

  • Frame-level object tracking and event tagging
  • Real-time collaboration and task assignment
  • AI-assisted annotation automation
  • Robust dataset versioning
  • Built-in QA workflows

Best Use Case: Data-intensive projects requiring efficient automation and robust management of video data.

5. Sama

Sama combines ethical sourcing of annotation talent with high-quality output for global enterprises. It focuses on social impact and precision, offering annotations for action recognition, frame labeling, and classification tasks at scale.

Features:

  • Ethically sourced, well-trained annotation workforce
  • Accurate and consistent video tagging
  • Scalable infrastructure for large video sets
  • Secure and compliant labeling environments

Best Use Case: Projects requiring ethically sourced, high-quality annotations.

6. Cogito Tech

Cogito specializes in high-precision video annotation, leveraging domain-specific expertise across industries such as insurance, healthcare, and public safety. Its strength lies in micro-detail annotations, scene-level tagging, and quality-controlled outputs.

Features:

  • Precise video annotation and tracking
  • Skilled and experienced annotation workforce
  • Rigorous quality assurance protocols

Best Use Case: Precision-focused video annotation tasks across sensitive or critical projects.

7. SuperAnnotate

SuperAnnotate offers end-to-end video annotation with advanced workflow automation, issue tracking, and team management features. It’s widely adopted by companies needing streamlined project coordination across distributed annotation teams.

Features:

  • Advanced tracking and segmentation tools
  • Workflow automation with QA and feedback loops
  • Rich collaboration controls (roles, tasks, timelines)
  • Integrated analytics and reporting dashboards
  • Easy export and integration with ML frameworks

Best Use Case: Complex video annotation projects requiring meticulous management and streamlined processes.

Conclusion

Selecting the right video annotation platform hinges on your use case, whether it’s high-precision medical imaging, behavioral analysis in surveillance, or training autonomous systems with dynamic real-world footage.

Polygon-annotated street scene highlighting vehicles, a cyclist, and road features

Among the available tools, iMerit’s Ango Hub rises above for its ability to handle regulated, complex, and large-scale video projects with unmatched reliability. It goes beyond standard annotation by combining:

  • Deep domain knowledge (especially in healthcare and mobility)
  • Intelligent automation that speeds up labeling while preserving accuracy
  • End-to-end pipeline integration and PACS viewer compatibility
  • A secure, audit-ready environment with expert human oversight

For AI teams working on mission-critical video datasets, Ango Hub offers a production-ready solution that strikes a balance between quality, compliance, and scale.