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ultralytics 8.0.108 add Meituan YOLOv6 models (#2811)

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Co-authored-by: Michael Currie <mcurrie@gmail.com>
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Co-authored-by: Hicham Talaoubrid <98521878+HichTala@users.noreply.github.com>
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
Co-authored-by: Szymon Mikler <sjmikler@gmail.com>
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Glenn Jocher 2023-05-25 00:43:32 +02:00 • committed by GitHub
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docs/models/sam.md
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@ -26,7 +26,7 @@ For more information about the Segment Anything Model and the SA-1B dataset, ple
SAM can be used for a variety of downstream tasks involving object and image distributions beyond its training data. Examples include edge detection, object proposal generation, instance segmentation, and preliminary text-to-mask prediction. By employing prompt engineering, SAM can adapt to new tasks and data distributions in a zero-shot manner, making it a versatile and powerful tool for image segmentation tasks.
```python
from ultralytics.vit import SAM
from ultralytics import SAM
model = SAM('sam_b.pt')
model.info() # display model information