How to Store Computer Vision Model Predictions

Roboflow's Vision Events is introduced as a centralized solution for storing computer vision model predictions, images, and metadata, bridging the gap between model outputs and operational decision-making. Traditional methods required custom databases to manage predictions, but Vision Events offers a streamlined, scalable approach, allowing users to define events, attach key metadata, and maintain a searchable repository. This system is crucial for comparing performance across different facilities and streamlining model improvement through active learning, where stored data informs future training iterations. The platform supports various ingestion methods, including a REST API, Python SDK, and direct uploads, and features built-in schemas for common use cases like quality checks and safety alerts. Vision Events not only provides a comprehensive record of predictions but also enhances the ability to refine models by reintegrating detection data and images for retraining, addressing the discrepancies between production and training data.