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Displaying 12 results

Compiles and launches Dockerized Auto Labeling service workflows.
Container
Assembles person attributes and generates search queries from visual QA results.
Container
Runs RF-DETR object detection and multi-object tracking.
Container
Runs SAM3 text-prompted object detection and tracking.
Container
Exports completed scene annotations to supported training formats.
Container
Generates image and video captions for the Auto Labeling pipeline.
Container
Extracts groundable expressions from image captions.
Container
Generates discriminative referring expressions for known image objects.
Container
Enhances images and videos before downstream annotation stages.
Container
Adds reasoning traces to existing annotations using captioning, visual QA, and other available scene context.
Container
Generates visual QA evidence and converts it into structured annotation artifacts.
Container
Uses SAM3 to ground image expressions into bounding boxes and masks.
Container
1-12 of 12 items

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