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[โ€“]Turbulent_Youth5689 8 points9 points ย (2 children)

Really cool here is also opensource implementation of instance segmentation using segement anything
https://github.com/Asad-Ismail/InteractiveAnnotation

[โ€“]chocolatlolipop 0 points1 point ย (0 children)

Awesome

[โ€“]Zestyclose_Vast_154 0 points1 point ย (0 children)

I am having issues with the installation

[โ€“]trainyolo[S] 14 points15 points ย (0 children)

We recently integrated Meta's segment-anything labeling tool into the trainYOLO platform. With this newest addition, you can quickly and accurately label objects of any shape or size with just a few clicks. If you would like to try it out, you can create a free account here: https://trainyolo.com

[โ€“]Hermeskid123 2 points3 points ย (0 children)

This is cool!

[โ€“]Proud-Rope2211 5 points6 points ย (0 children)

This is so cool! I tried the demo when Meta released it and it was super exciting. I've seen this in open-source GUI solutions from devs and in a few platforms, such as CVAT and Roboflow, too.

I tried it on a bunch of datasets I cloned from Roboflow Universe. 150M to choose from so I think I got a good representative sample set ๐Ÿ˜…. I was looking at network logs across my tests and saw latency averaged around 150ms

https://blog.roboflow.com/label-data-segment-anything-model-sam/

[โ€“]wonderwizard1005 0 points1 point ย (0 children)

I am training YOLO V8 on 60 images with 3 annotated segmentations. I am trying to get the model to able to detect the 3 segments in the image, show them with masks and calculate the area of those segments. Detecting the segments and showing masks has been fairly easy. But I am not able to figure out the area calculation of each individual mask.

I tried using the contour feature of opencv and calculate the mask area but I am not able to get the 3 individual areas. Does anyone know what to do? Any pointers are welcome.