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Segment Anything Model (SAM) Breakdown | Computer Vision Breakthrough 

Roboflow
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Facebook released the Segment Anything model showcasing impressive zero-shot inference capabilities and comes with the promise of becoming a new foundational model for computer vision applications.
Accompanying blog post: blog.roboflow.com/segment-any...
Use SAM in Roboflow to label data: blog.roboflow.com/label-data-...
Automated data labeling with SAM: • Accelerate Image Annot...
Interactive Segment Anything Experience: segment-anything.com/
Github repo: github.com/facebookresearch/s...
arXiv paper: arxiv.org/abs/2304.02643
How to use SAM: blog.roboflow.com/how-to-use-...
On July 29th, 2024, Meta AI released Segment Anything 2 (SAM 2), a new image and video segmentation foundation model. According to Meta, SAM 2 is 6x more accurate than the original SAM model at image segmentation tasks. Learn more: blog.roboflow.com/what-is-seg...

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6 апр 2023

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Комментарии : 6   
@StarbirdTech
@StarbirdTech Год назад
Great video and a very exciting new model. Excited to start experimenting with it!
@AndysTV
@AndysTV Год назад
5:37 Awesome video. That’s what I’m thinking to do to add object detection into it.
@GohOnLeeds
@GohOnLeeds Год назад
Such an exciting launch, great video, and only 4 comments. OMG, what is going on in this world? lol
@Alice-yq6yy
@Alice-yq6yy 2 месяца назад
Just one question: Is it a semantic segmantation model like you said? Or instance segmentation as stated on the roboflow website? On the images I tested it didn't always segment every pixel. Usually the sky/ background is left out. Is it still semantic segmentation then?
@Roboflow
@Roboflow 2 месяца назад
It’s Piotr here:) I actually think it is not instance segmentation nor semantic segmentation as you don’t get any labels associated with masks
@gbo10001
@gbo10001 Год назад
would you show how to use it for labeling?
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