[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
Use a model to segment images into different parts, helping with tasks like identifying objects in pictures.
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eomt has 613 stars on GitHub. It has been forked 60 times. eomt is written mainly in Jupyter Notebook. It has been in active development since 2024. eomt is available under the MIT license. Its main topics are eomt, image-segmentation, instance-segmentation, panoptic-segmentation.
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
eomt is an open-source project. It is released under the MIT license.
Yes. eomt is free and open source — you can use, modify and self-host it.
eomt is available under the MIT license.
eomt is written mainly in Jupyter Notebook.
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