| ---
|
| license: apache-2.0
|
| library_name: libreyolo
|
| pipeline_tag: image-segmentation
|
| tags:
|
| - image-segmentation
|
| - semantic-segmentation
|
| - lingbot-vision
|
| - vision-transformer
|
| - ade20k
|
| datasets:
|
| - ade20k
|
| ---
|
|
|
| # LibreLingBotVisionl-sem
|
|
|
| LingBot-Vision ViT-L/16 (300M backbone) self-supervised backbone with a LibreYOLO-trained 1x1
|
| dense head for ADE20K 150-class semantic segmentation at 512x512.
|
|
|
| ## Source
|
|
|
| The backbone derives from [robbyant/lingbot-vision](https://github.com/robbyant/lingbot-vision)
|
| ("Vision Pretraining for Dense Spatial Perception", Fu et al., 2026,
|
| arXiv:2607.05247), weights from
|
| [robbyant/lingbot-vision-vit-large](https://huggingface.co/robbyant/lingbot-vision-vit-large).
|
| Copyright (c) 2026 Robbyant. Licensed under the Apache License 2.0.
|
|
|
| ## Modifications
|
|
|
| The backbone tensors are unchanged (the LibreYOLO port is parity-verified at
|
| max_abs_diff == 0 against the reference implementation). The dense head is a
|
| 1x1 convolution over the frozen patch-token grid, trained by LibreYOLO on
|
| ADE20K following the linear-probing protocol of the upstream technical
|
| report (ADE20K val mIoU 51.4 at 512x512, single scale; upstream linear-probe reference 52.8). Conversion and metadata wrapping:
|
| `weights/convert_lingbotvision_weights.py` in the
|
| [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).
|
|
|
| ## Usage
|
|
|
| ```python
|
| from libreyolo import LibreYOLO
|
|
|
| model = LibreYOLO("LibreLingBotVisionl-sem.pt")
|
| results = model.predict("image.jpg")
|
| results.save("out.jpg")
|
| ```
|
|
|
| Fine-tune on your own semantic dataset (head-only by default, matching the
|
| linear-probe recipe; pass `freeze_backbone=False` for a full fine-tune):
|
|
|
| ```python
|
| model.train(data="your_semantic.yaml", epochs=20)
|
| ```
|
|
|
| ## License
|
|
|
| Apache License 2.0. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE)
|
| files in this repository.
|
|
|
| ## Dataset Note
|
|
|
| ADE20K has separate dataset terms and is not redistributed in this repository.
|
|
|
