Label Your Data

Label Your Data provides a comprehensive data annotation platform and end-to-end services, simplifying the process of preparing datasets for machine learning. It caters to more than 20 sectors, handling image, video, text, audio, and sensor data with exceptional precision and adherence to compliance regulations. The system allows for easy dataset uploads, task customization, real-time progress tracking, and result exports. It features adaptable pricing and integrates with any toolset, making it suitable for a wide array of project needs.

Key Features

Multi-Modal Data Annotation: Capable of handling numerous annotation formats such as bounding boxes, semantic segmentation, OCR, keypoint marking, text classification, named entity recognition, audio transcription, and LiDAR point cloud labeling.

Scalable Global Workforce: Leverages a network of over 1000 skilled annotators in 25 countries, offering diverse expertise and the capacity to efficiently scale projects up or down.

Robust Quality Assurance: Employs strict quality control processes to guarantee annotation accuracy exceeding 98%, producing dependable datasets for training AI models.

Flexible Pricing and No Commitment: Provides transparent pricing models based on labeled objects or annotation hours, including a free pilot project to assess service quality without obligation.

Tool-Agnostic Integration: Designed for compatibility with any annotation tool, including custom solutions, for smooth incorporation into existing machine learning workflows.

Data Security and Compliance: Holds certifications including PCI DSS Level 1, ISO 27001, GDPR, CCPA, and HIPAA, ensuring top-tier data privacy and meeting stringent regulatory standards.

Use Cases

Computer Vision Model Training: Delivers accurate image and video labeling for object detection, segmentation, and OCR to advance visual AI applications.

Natural Language Processing: Annotates text data for classification, sentiment analysis, named entity recognition, and prompt generation to refine language models.

Autonomous Vehicles and Robotics: Supports the annotation of sensor data like LiDAR and 3D point clouds for navigation and object recognition systems.

E-commerce Optimization: Enhances product discovery through attribute tagging, categorization, and analysis of customer feedback to improve search and recommendations.

Healthcare Data Annotation: Offers secure, compliant annotation of medical imagery and records to aid diagnostic AI and clinical research.