Label Your Data

What is Label Your Data?

Label Your Data offers end-to-end data annotation services and a management platform designed to streamline dataset labeling for machine learning projects. Serving over 20 industries, it supports image, video, text, audio, and sensor data annotation with high accuracy and compliance standards. The platform enables users to upload datasets, define annotation tasks, monitor progress, and download results, while providing flexible pricing and tool-agnostic integration to fit varying project requirements.

Key Features

• Multi-Modal Data Annotation

  Supports a wide range of annotation types including bounding boxes, semantic segmentation, OCR, keypoint annotation, text classification, named entity recognition, audio transcription, and LiDAR point cloud labeling.

• Scalable Global Workforce

  Access to over 1000 trained annotators across 25 countries, ensuring diverse expertise and the ability to scale projects efficiently.

• Robust Quality Assurance

  Implements rigorous quality control workflows to maintain annotation accuracy above 98%, ensuring reliable datasets for model training.

• Flexible Pricing and No Commitment

  Offers pay-per-labeled-object or per-annotation-hour pricing models with a free pilot to evaluate service quality before commitment.

• Tool-Agnostic Integration

  Compatible with any annotation tool, including custom setups, allowing seamless integration into existing ML pipelines.

• Data Security and Compliance

  Certified to meet standards such as PCI DSS Level 1, ISO 27001, GDPR, CCPA, and HIPAA, ensuring data privacy and regulatory compliance.

Use Cases

• Computer Vision Model Training : Precise labeling of images and videos for object detection, segmentation, and OCR to improve visual AI applications.
• Natural Language Processing : Annotation of text data for classification, sentiment analysis, named entity recognition, and prompt generation to enhance language models.
• Autonomous Vehicles and Robotics : Sensor data annotation including LiDAR and 3D point clouds to support navigation and object recognition systems.
• E-commerce Optimization : Product attribute labeling, categorization, and customer feedback analysis to improve search relevance, recommendation, and personalization.
• Healthcare Data Annotation : Secure and compliant annotation of medical images and records to support diagnostic AI and clinical research.

FAQs