If you're looking for a Label Studio alternative, SuperAnnotate is a good choice. This end-to-end enterprise platform supports a variety of GenAI tasks, including computer vision, natural language processing, and more. It has customizable interfaces, sophisticated AI tools, and a global marketplace for vetted annotation teams. The platform also has data security and privacy controls that follow industry standards.
Another good alternative is Encord. This full-stack data development platform is geared for building predictive and generative computer vision applications. It includes tools for data ingestion, cleaning, curation and automated labeling, for example with Annotate for various annotation types and Active for monitoring model performance. Encord is designed to be secure and to integrate with storage and MLOps tools.
If you're more focused on developing AI applications, Dataloop combines data curation, model management, pipeline orchestration and human feedback to speed development. It includes features like automated preprocessing, model deployment and strong security controls. Dataloop supports many types of unstructured data and is designed to improve collaboration and development speed.
Last, V7 offers a full machine learning development platform that automates tasks and optimizes data labeling. With tools like V7 Darwin for image and video labeling and V7 Go for multi-modal tasks, it offers features like Auto-Annotate and Custom Data Workflows. V7 integrates with popular tools and services, and it follows industry regulations, so it's a good alternative for AI project delivery.