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LibreEoMTl-seg
LibreYOLO/LibreEoMTl-seg
LibreEoMTl-seg is a image segmentation model from LibreYOLO. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for libreyolo. The card lists the license as mit.
EoMT-L (Encoder-only Mask Transformer, DINOv2-Large backbone) for COCO 80-class instance segmentation at 640 px, repackaged for LibreYOLO.
Access
Public
Updated Jul 8, 2026
Repo size
1.3 GB
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0
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Repo makeup
Click a slice to open those files.
.pt1.3 GB · 100%
At a glance
- Task
- Image Segmentation
- Library
- libreyolo
- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- 95ee7e6c
Datasets
Model card
From the Hugging Face model README
LibreEoMTl-seg
EoMT-L (Encoder-only Mask Transformer, DINOv2-Large backbone) for COCO 80-class instance segmentation at 640 px, repackaged for LibreYOLO.
Source
Derived from tue-mps/eomt, checkpoint
tue-mps/coco_instance_eomt_large_640.
Copyright (c) 2025 Mobile Perception Systems Lab at TU/e. Licensed under the MIT License.
The architecture uses a DINOv2 Vision Transformer backbone (Meta Platforms, Inc., Apache-2.0), fine-tuned end-to-end by the upstream authors and released under MIT.
Modifications
State-dict key remapping only. Learned parameters are unchanged.
See weights/convert_eomt_weights.py in the
LibreYOLO source repository.
Usage
from libreyolo import LibreYOLO
model = LibreYOLO("LibreEoMTl-seg.pt")
results = model.predict("image.jpg")
Install the EoMT runtime dependency with:
pip install "libreyolo[eomt]"
License
MIT License. See the LICENSE and NOTICE files in this repository.
- Task
- Image Segmentation
- Library
- libreyolo
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026