Skip to content

soaringDistributions/segment_anything-models

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

Files for the 'segment-anything' repository explicitly states 'The model is licensed under the Apache 2.0 license.' Notice, this explicitly places the model, not merely the software, under that license.

Reference

https://github.com/soaringDistributions/segment-anything/tree/main

https://github.com/soaringDistributions/segment-anything/blob/main/LICENSE

https://huggingface.co/vietanhdev/segment-anything-onnx-models ... 'Converted with samexporter.' ... No explicit license stated. Would inherit the 'Apache 2.0 license' of the upstream 'segment-anything' model and source code.

https://github.com/vietanhdev/anylabeling-assets ... No explicit license stated. Would inherit the 'Apache 2.0 license' of the upstream 'segment-anything' model and source code.

https://github.com/CVHub520/X-AnyLabeling ... Source code files are apparently GPLv3 license. Model files from releases do not apparently have an explicit license stated. Would inherit the 'Apache 2.0 license' of the upstream 'segment-anything' model and source code.

https://github.com/OpenGVLab/SAM-Med2D https://arxiv.org/abs/2308.16184 ... Indeed apparently explicitly states the inherited 'Apache 2.0 license' of the upstream 'segment-anything' model and source code.

https://github.com/duyhominhnguyen/LVM-Med https://arxiv.org/abs/2306.11925 ... Although any SAM model should still inherit the 'Apache 2.0 license' of the upstream 'segment-anything' model and source code, that may not have precluded the 'CC BY-NC-ND 2.0 (Attribution-NonCommercial-NoDerivs 2.0 Generic)' 'for academic research use only' '[email protected]' license associated with the 'LVM-Med' source code . ... 'We use and modify codes from SAM and MedSAM for prompt-based segmentation settings. A part of LVM-Med algorithm adopt data transformations from Vicregl, Deepcluster-v2. We also utilize vissl framework to train 2D self-supervised methods in our collected data. Thank the authors for their great work!

https://github.com/bowang-lab/MedSAM ... Seems unrelated to 'SAM-Med2D' .

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published