SAM - Segment Anything Model by Meta AI: Complete Guide | Python Setup & Applications

Description:
Discover the incredible potential of Meta AI's Segment Anything Model (SAM) in this comprehensive tutorial! We dive into SAM, an efficient and promptable model for image segmentation, which has revolutionized computer vision tasks. With over 1 billion masks on 11M licensed and privacy-respecting images, SAM's zero-shot performance is often competitive with or even superior to prior fully supervised results.

🔍 Explore this in-depth guide as we walk you through setting up your Python environment, loading SAM, generating segmentation masks, and much more. Master the art of converting object detection datasets into segmentation masks and learn how to leverage this powerful tool for your projects.

Chapters:
00:00 - Introduction and Overview of SAM by Meta AI
01:00 - Setting up Your Python Environment
02:46 - Loading the Segment Anything Model
03:09 - Automated Mask Generation with SAM
06:36 - Generate Segmentation Mask with Bounding Box
10:02 - Convert Object Detection Dataset into Segmentation Masks
12:01 - Outro

Resources:

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#MetaAI #SegmentAnythingModel #SAM #ImageSegmentation #Python #FoundationModels #ComputerVision #ZeroShot

[SS-zqsc]

This was a great explanation and so was your blog entry. You gained another subscriber today. Thank you!

[dloperab]

Great video... thanks Piotr and Roboflow for all the great videos you generate. I am resuming my interest in CV thanks to you!

[gbo]

wow that's really great waited for that...

[samzhu]

Thanks for the wonderful video! Is it possible to annotate specific objects (with labels) in a few frames of a video (fixed perspective) and keep tracking those objects in the entire video?

[shaneable]

Great video! Thank you! What hardware are you running this on?

[anestiskastellos]

Very nice video. Next video -> Grounded Segment Anything !! 👏

[froukehermens]

One use case is the annotation of eye tracking data. Per video frame one would like to annotate whether a person is looking at other people or objects in the environment. One could use YOLO and bounding boxes, but these are less precise than regions.

[EkaterinaGolubeva-prih]

Thank you ! Can SAM handle 3D images ? Any advice on how to approach it ?

[diyorpardaev]

It is really best video ever)I am making a great project with using sv<Thank you so much

[kobic]

Thanks so much for the clear video! Are you planning on also intergrate it with some tools to get an output that will include also labels of each mask?

[jamtomorrow]

Hi thanks for the great tutorial! How can I download the masks created using SAM and upload them into roboflow?

[MrJesOP]

First of all, thank you so much for the content, amazing contribution to the community! I wonder if it is possible to implement the negative point prompt in the SAM model similarly as it can be done in the website, where you can choose several points belonging to the object that you are interested in as well as points that do not belong to it... Some help would be amazing!!
Thanks in advance!!

[badrinarayanan]

Great video!! I do have a question. How do we use MskAnnotator to annotate only one specific mask instead of the entire set of masks in sam_result?

[alaaalmazroey]

Does SAM segment all objects in the scene very well when there is an occlusion?

[JenishaThankaraj]

Can we annotate polygon shape instead of rectangle using SAM

[geniusxbyofejiroagbaduta]

I can't wait to see how it can be used for annotations

[ifeanyianene]

Thanks so much for this video!! Is there another way to draw the bounding box (in like a single python file format whereby you just run your main function) that doesn't require jupyter widgets? Oh btw, Liked and subscribed you guys are awesome!

[iflag]

Great! Could you give a talk on possibility of object detection with SAM

[EkaterinaGolubeva-prih]

Can you make a video on MedLSAM ( medical localize and segment anything model) ?

[willemweertman]

You should try it with data taken in a underwater marine context. Lots of models struggle with that.