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.

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Dataset used to train LibreYOLO/LibreEoMTl-seg

Collection including LibreYOLO/LibreEoMTl-seg