Encord as a Step Up from CVAT + Voxel51: Why Teams Are Making the Switch

Machine learning and data operations teams often use a combination of CVAT and FiftyOne (Voxel51) for annotation and visualization in building computer vision models, but this workflow can become inefficient as projects scale, especially when dealing with complex data types like video or LiDAR. These tools require manual data handling and lack seamless integration or comprehensive support for advanced modalities, leading to fragmented processes and potential security concerns. Encord offers a unified platform that addresses these limitations by providing native support for video, multimodal data, and large-scale datasets, along with built-in governance, automation, and quality assurance features. This integrated approach allows for faster iterations, reduces operational complexity, and improves model development efficiency, making it a compelling choice for teams needing scalable AI data solutions.

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