WorkflowsBlocks
Detection Filter

Use Detection Filter to Build Computer Vision Pipelines and Applications

Workflows allows you to integrate Detection Filter with models, logic, and applications.

Connect Detection Filter to other blocks to build a custom workflow

Filter detections from a detections-based block based on specified conditions. This block is useful to filter out detections that may not be useful for your project. You can filter on the basis of: - Coordinates of a detection - Confidence of a detection You can use the following comparison statements in a DetectionFilterBlock: - `equal` (field value equal to `reference_value`) - `not_equal` - `lower_than` - `greater_than` - `lower_or_equal_than` - `greater_or_equal_than` - `in` - `str_starts_with` - `str_ends_with` - `str_contains`
Transformation

Detection Filter

Filter predictions from detection models based on defined conditions.

Build a Custom Vision AI Application

Connect pre-trained models, open source models, LLM APIs, advanced logic, and external applications. Deploy as an API endpoint, on-prem, or at the edge.
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Explore Popular Combinations Using Detection Filter

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Customize Your Pipeline

Connect models from OpenAI or Meta AI, applications like Slack or Pager Duty, and logic like filtering or cropping.
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