LingBot-Vision ViT-S/16 (21.6M backbone) self-supervised backbone with a LibreYOLO-trained 1x1
dense head for ADE20K 150-class semantic segmentation at 512x512.
The backbone derives from
robbyant/lingbot-vision
("Vision Pretraining for Dense Spatial Perception", Fu et al., 2026,
arXiv:2607.05247), weights from
robbyant/lingbot-vision-vit-small.
Copyright (c) 2026 Robbyant. Licensed under the Apache License 2.0.
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 46.2 at 512x512, single scale; upstream linear-probe reference 47.0). Conversion and metadata wrapping:
weights/convert_lingbotvision_weights.py in the
LibreYOLO source repository.
1from libreyolo import LibreYOLO
2
3model = LibreYOLO("LibreLingBotVisions-sem.pt")
4results = model.predict("image.jpg")
5results.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):
Apache License 2.0. See the
LICENSE and
NOTICE
files in this repository.
ADE20K has separate dataset terms and is not redistributed in this repository.
