Update YOLOv3 and YOLOv5 YAMLs (#7574)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -222,4 +222,4 @@ If you find SAM useful in your research or development work, please consider cit
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We would like to express our gratitude to Meta AI for creating and maintaining this valuable resource for the computer vision community.
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*keywords: Segment Anything, Segment Anything Model, SAM, Meta SAM, image segmentation, promptable segmentation, zero-shot performance, SA-1B dataset, advanced architecture, auto-annotation, Ultralytics, pre-trained models, SAM base, SAM large, instance segmentation, computer vision, AI, artificial intelligence, machine learning, data annotation, segmentation masks, detection model, YOLO detection model, bibtex, Meta AI.*
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_keywords: Segment Anything, Segment Anything Model, SAM, Meta SAM, image segmentation, promptable segmentation, zero-shot performance, SA-1B dataset, advanced architecture, auto-annotation, Ultralytics, pre-trained models, SAM base, SAM large, instance segmentation, computer vision, AI, artificial intelligence, machine learning, data annotation, segmentation masks, detection model, YOLO detection model, bibtex, Meta AI._
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