Encord is a sophisticated platform tailored for AI teams working on computer vision projects, providing a comprehensive solution for managing, curating, annotating, and evaluating large datasets. It is an end-to-end platform that streamlines workflows by integrating various tools required for effective data handling. The platform is particularly adept at managing extensive datasets, with the capability to support up to 200,000 frames per video upload, making it suitable for high-volume data operations. One of the standout features of Encord is its scalability, allowing users to create multiple datasets to manage larger projects efficiently. Additionally, the platform includes functionalities such as deep search, filtering, and metadata analysis, enabling users to navigate and manipulate their data effectively. The no-code user interface enhances accessibility, allowing users to search for images and apply filters using everyday language, thus simplifying the data discovery process. Data security is a top priority for Encord, which complies with major regulatory frameworks like GDPR and HIPAA, employing advanced encryption protocols to ensure data privacy. Integration capabilities are robust, with support for native cloud storage and programmatic control of data workflows through a Python SDK and API for exporting data in various formats. Encord is primarily used for data annotation, active learning, and effective data management, making it a versatile tool for AI teams. Users can import data by uploading files in batches of up to 2GB, create datasets, annotate data using Encord Annotate, and evaluate models with Encord Active. Best practices include utilizing the AI Help widget for assistance and adhering to batch upload recommendations for efficient data handling. While Encord offers numerous advantages such as scalability, ease of use, and strong security measures, users should be mindful of potential learning curves and data upload limitations. Overall, Encord has garnered positive reviews for its innovative approach, user-friendly interface, and effective features, solidifying its position as a preferred choice for data-centric AI projects.