Question: I need a tool that can handle multiple data types, including images and text, for training AI models.

Dataloop is an AI development platform that combines data curation, model management, pipeline orchestration, and human feedback to accelerate AI application development. It supports various unstructured data types such as images, videos, and text, making it a versatile choice for different roles within an organization. Dataloop's robust data management features, including automated preprocessing, embeddings for detecting similarity, and strong security controls, can significantly improve collaboration and speed up development.

Another strong contender is SuperAnnotate, which provides an end-to-end platform for training, evaluating, and deploying AI models. It supports a wide range of data types including image, video, text, and audio. The platform offers advanced AI, QA, and project management tools, along with a global marketplace of vetted annotation teams. This makes it an ideal choice for creating high-quality datasets, evaluating model performance, and deploying models across multiple platforms.

Label Studio is also worth mentioning, especially if you need a flexible data labeling tool. It supports various data types such as images, audio, text, time series, and video, allowing you to create training data for computer vision, natural language processing, speech, voice, and video models. The tool includes customizable layouts and templates, ML-assisted labeling, and integration with cloud storage systems, making it a popular choice among data scientists and companies of all sizes.