Start labeling your training images
- 24/7 Support
- High accuracy
- Fast labeling
Dataset annotation: Label Faster Than Ever
- Fast labeling
- High accuracy
- 24/7 Support
Quickly label training data and export to any format.
Streamline workflow by swiftly labeling training data and exporting it to any desired format, ensuring a seamless integration into your machine learning pipeline.
How to get started
- Register on the website
- Create a task for dataset annotation
- Submit datasets for annotation via API
- Export the results
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
Construction
Field Service
Oil & Gas
Delivery
Food & Beverage
Passenger Transit
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.
- 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.
What are 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.
