Why Roboflow Train?

Roboflow Train offers an accessible and automated approach to developing computer vision models, enabling users without extensive machine learning expertise to convert any dataset into a deployable model. It simplifies the traditionally complex training pipelines by integrating with platforms like AWS Rekognition, Microsoft Azure, and Google's AutoML, and offers features such as one-click training, streamlined deployment, and active learning, which enhances model performance over time. The platform reduces costs by allowing companies to utilize existing engineering resources instead of hiring specialized teams, and it supports continuity in knowledge by keeping all models, datasets, and annotations centralized. Roboflow Train's capabilities, including transfer learning and model-assisted labeling, help users from various fields, such as manufacturing and healthcare, to efficiently create high-performance models that address specific real-world challenges.