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Using dataset annotation service API

How to get started

  • Register on the website
  • Create a task for dataset annotation
  • Submit datasets for annotation via API
  • Export the results
How to get started label image datasets for AI using 2Captcha
Crowdsourcing dataset labeling with 2Captcha

Crowdsourcing dataset labeling

Our platform redefines the landscape of dataset labeling by leveraging the collective intelligence of a diverse crowd. Tasks distributed among a pool of skilled annotators from around the globe, ensuring rapid and accurate annotations. Whether you're working on image recognition, natural language processing, or any other machine learning task, our crowdsourcing dataset labeling solution provides the annotated data you need to train and validate models effectively.

Dataset annotation tool for every labeling use case

  • Trucking & Logistics

    Trucking & Logistics

  • Construction


  • Field Service

    Field Service

  • Oil & Gas

    Oil & Gas

  • Delivery


  • Food & Beverage

    Food & Beverage

  • Passenger Transit

    Passenger Transit

  • Satellite image labeler

    Satellite image labeler

  • Agriculture


Completely handled dataset annotation services

Easily expand labeling operations by leveraging a skilled workforce, cutting-edge tools, and specialized expertise, ensuring the rapid and accurate annotation of large datasets.

Advantages of 2Captcha dataset annotation service
  • Scalability: Proficient dataset labeling services enable you to manage extensive datasets without compromising on quality or speed.
  • Cost-effectiveness: Whether it's a singular project or an continuous workflow, leverage efficient and consistently available operations to maintain cost-effectiveness.
  • Expertise: We are have extensive experience in annotating diverse datasets and possess domain-specific experts across industries.

Start labeling your training images

  • 24/7 Support
  • High accuracy
  • Fast labeling
Quick start

What are dataset annotation

About dataset annotation

Dataset annotation involves adding metadata, labels, or tags to raw data, usually in the form of images, to enhance its understanding and utility for machine learning models. This annotated data helps train and improve the accuracy of algorithms by providing labeled examples for the model to learn from. The annotations could include bounding box method, or any other relevant information depending on the specific goals of the machine learning task. Find out more about what dataset annotation meaning from the article.

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