If you're looking for a tool that can handle annotation for multiple data modalities, including text, image, and audio, SuperAnnotate is a good choice. It's a full-stack platform for training, testing and deploying AI models with high-quality training data. It can handle a variety of data types and has a customizable interface, so it can be used for a variety of GenAI tasks. It also comes with advanced AI, QA, and project management tools and has data security and privacy controls.
Another good option is Label Studio, a flexible data labeling tool that can handle images, audio, text, time series and video data. It has customizable layouts and templates, ML-assisted labeling and integration with cloud storage systems. It's open-source and free, though an enterprise version offers more features.
Appen has a broad platform for collecting and annotating high-quality, diverse data, including text, images, audio, video and geo-spatial data. It has tools for human feedback, collaboration, testing and analytics, so it's good for both AI research and enterprise use. The platform can be deployed in a variety of ways and has built-in quality control mechanisms to ensure data labeling is reliable.
If you're looking for a more powerful data development platform, Encord is worth a look. It's got tools for ingesting data, cleaning it, curating it, automatically labeling it and evaluating model performance. Its Annotate tool handles a variety of annotation types and can automatically label data with one click, so you can more easily manage and improve data quality.