Vision Events
Record, search, and analyze what your deployed computer vision models see in production.
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Record, search, and analyze what your deployed computer vision models see in production.
Vision Events is a Roboflow datastore that can capture important events, like the detection of defect or a count of inventory, alongside visual information from your deployed computer vision model. This gives you a searchable, filterable history of everything your vision system observes in production.
A Vision Event is a timestamped record created when a model processes an image. Each event can optionally capture:
Images: The original images that were processed and associated output images
Predictions: Object detections, classifications, instance segmentations, or keypoints returned by the model
Source metadata: Which device, stream, or workflow generated the event
Custom metadata: Key-value pairs you define for your domain (e.g. line_number, shift, part_number)
For programmatic access, see the Vision Events API Reference.
A Use Case groups events that share a common purpose and custom metadata structure. Events in the same Use Case typically send similar metadata fields so you can filter and query them consistently.
For example, a "Defect Detection" Use Case might always include line_id, shift, and part_number even if events come from multiple factories or camera locations. Create separate Use Cases when the metadata structure is fundamentally different (e.g. "PPE Compliance" tracks zone and alert_type instead).
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