Use Roboflow Workflows to Collect and Preprocess Image Training Data

Aryan Vasudevan's guide, published on July 11, 2025, explores the use of Roboflow Workflows to capture and preprocess data from production environments, facilitating the creation of new datasets for training computer vision models. This approach allows for the chaining of multiple models, breaking complex tasks into modular stages, and enhancing the scalability of vision systems. The guide provides a practical example of detecting numbers on sports jerseys and utilizing this data to fine-tune a vision-language model for optical character recognition. It emphasizes the versatility of Roboflow Workflows, not only for end-to-end inference but also for data preparation and model training in computer vision. The process involves creating a preprocessing Workflow that filters and dynamically crops images, which are then uploaded to a multimodal model for training. This method enables the development of modular, multi-stage pipelines that intelligently clean, transform, and route data, offering increased control and scalability for vision systems.