ML-PIPES-SUPERVISION

Pipeline Recipe Reference

This reference maps each complete, runnable pipeline to its source example and upstream Supervision notebook, where applicable. For the visual recipe overview, see Pipeline Recipes.

Recipe Runnable Pipeline Upstream Source
Blurring Faces examples/run_blur_faces.py blurring_faces.ipynb
Count Objects Crossing a Line examples/run_count_objects_crossing_line.py count-objects-crossing-the-line.ipynb
Zero-Shot Object Detection with YOLO-World examples/run_zero_shot_object_detection.py zero-shot-object-detection-with-yolo-world.ipynb
Oriented Bounding Boxes examples/run_oriented_bounding_boxes.py Oriented Bounding Boxes
Describe Detected Objects with VLMs examples/run_detect_and_describe.py Original ml-pipes recipe
Extract Structured Attributes with VLMs examples/run_detect_and_attribute.py Original ml-pipes recipe