You can deploy this model and start earning money today!

LibreYOLO/
LibreDOMEDETRs-visdrone

Name: LibreDOMEDETRs-visdrone
Availability: InStock

libreyolo

object-detection

dome-detr

tiny-object-detection

visdrone

academic-research-only

non-commercial

other

Views

No views yet

LibreDOMEDETRs-visdrone

Dome-DETR S trained on VisDrone (12 output classes), converted for LibreYOLO at 800x800.

ACADEMIC-RESEARCH-ONLY WEIGHTS

The upstream model card says these weight files are for academic research purposes only. They are not covered by LibreYOLO's MIT license and must not be treated as commercially cleared.

The same upstream card also says the project is Apache-2.0, but it has no license metadata and links to a LICENSE file that does not exist in the weight repository. LibreYOLO's maintainer approved this mirror by treating the Apache statement as the redistribution basis and preserving the stricter academic-only sentence as the use restriction. This is LibreYOLO's disclosed interpretation, not clarification from the Dome-DETR authors. Review the pinned upstream card and the LICENSE and NOTICE in this repository before use.

python

from libreyolo import LibreYOLO

model = LibreYOLO("LibreDOMEDETRs-visdrone.pt")
results = model.predict("image.jpg")

Source

Official upstream weight file: best_ckpts_dome_2026/dome-s-visdrone_converted.pth

Upstream model revision: 530230620d1f3261a267d462989cddf204cc6e10
Source SHA-256: 42874302fd97e17c2a23a46a8ec35d2ea4d2ffe479f0d632c1327fafbf910eb7
Converted SHA-256: 01c60b62f042be2893c3a3d32add8b25055aebcdf4bb3098434c1d7a2ba00e18

The Dome-DETR architecture source is Apache-2.0 at commit 2dde3bc1946a3e9fad9abd0612b59fc39bd6b861. Copyright (c) 2025 The Dome-DETR Authors, as stated in its source headers. That source-code license and LibreYOLO's MIT code license do not remove the academic-only restriction stated for these pretrained weights.

Modifications

LibreYOLO adds checkpoint-schema metadata, including the dataset variant, class names, pinned source revision, and source SHA-256. State-dict keys and learned tensors are unchanged. The converted checkpoint loads strictly into LibreYOLO's native implementation. See weights/convert_domedetr_weights.py.

License and terms

Academic research purposes only, following the stricter statement on the upstream weight card. The upstream Apache-2.0 statement and its missing weight repository LICENSE file are documented without omission. See LICENSE and NOTICE.

LibreYOLO/LibreDOMEDETRs-visdrone

LibreDOMEDETRs-visdrone

ACADEMIC-RESEARCH-ONLY WEIGHTS

Source

Modifications

License and terms

LibreYOLO/
LibreDOMEDETRs-visdrone