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Initial upload: LibreDOMEDETRl-aitod (Dome-DETR, academic-research-only)

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  1. LICENSE +233 -0
  2. LibreDOMEDETRl-aitod.pt +3 -0
  3. NOTICE +35 -0
  4. README.md +71 -0
LICENSE ADDED
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+ Dome-DETR pretrained checkpoint terms and provenance
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+ ====================================================
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+
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+ Upstream weight repository:
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+ https://huggingface.co/RicePasteM/Dome-DETR
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+ Revision: 530230620d1f3261a267d462989cddf204cc6e10
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+
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+ The upstream weight repository has no standalone LICENSE file and its Hugging
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+ Face card metadata has no `license` field. Its README contains both of the
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+ following statements (reproduced verbatim):
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+
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+ - The weight files in this repository are for academic research purposes only
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+ - This project is licensed under the Apache 2.0 license.
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+
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+ At the pinned revision, the second statement links to a `LICENSE` file that is
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+ not present in the weight repository. The Dome-DETR source-code repository does
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+ contain the standard Apache License 2.0 text reproduced below.
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+
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+ LibreYOLO's maintainer approved mirroring these checkpoints by treating the
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+ upstream Apache statement as the redistribution basis while preserving
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+ "academic research purposes only" as the controlling use restriction. This is
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+ a disclosed LibreYOLO interpretation, not an upstream clarification and not a
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+ claim that the two upstream statements are legally consistent.
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+
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+ THESE PRETRAINED WEIGHTS ARE FOR ACADEMIC RESEARCH PURPOSES ONLY. THEY ARE NOT
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+ COVERED BY LIBREYOLO'S MIT LICENSE AND MUST NOT BE TREATED AS COMMERCIALLY
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+ CLEARED. DOWNSTREAM USERS ARE RESPONSIBLE FOR REVIEWING AND COMPLYING WITH THE
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+ UPSTREAM TERMS.
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+
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+ The complete Apache License 2.0 text from the pinned Dome-DETR source-code
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+ repository follows for the full context of the upstream Apache statement.
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+ Apache License
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LibreDOMEDETRl-aitod.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a0d3f7f54fc4b08766bb087e2d8c2d794885d80b27a2b171906a159cfb94fa61
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+ size 137091463
NOTICE ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ LibreDOMEDETRl-aitod weights
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+ ----------------------------
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+
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+ This product contains the official Dome-DETR L checkpoint trained
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+ on AI-TOD-V2 and published by the Dome-DETR authors at:
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+ https://huggingface.co/RicePasteM/Dome-DETR
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+
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+ Pinned model revision: 530230620d1f3261a267d462989cddf204cc6e10
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+ Upstream file: best_ckpts_dome_2026/aitod-l-best.pth
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+ Source SHA-256: 08525b4bd445e1f193bbc2bb252ddae0f144f542912a95a38111c9a4b9a53cbe
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+ Converted SHA-256: a0d3f7f54fc4b08766bb087e2d8c2d794885d80b27a2b171906a159cfb94fa61
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+
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+ ACADEMIC-RESEARCH-ONLY WEIGHTS
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+
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+ The upstream weight repository has no license metadata and no LICENSE file.
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+ Its README says both that the weight files are "for academic research purposes
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+ only" and that the project is licensed under Apache 2.0; the latter links to a
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+ missing file. LibreYOLO's maintainer approved mirroring by treating the Apache
19
+ statement as the redistribution basis while preserving the academic-only
20
+ sentence as the controlling use restriction. This is a LibreYOLO
21
+ interpretation, not an upstream clarification or a claim that those statements
22
+ are legally consistent. The complete context and Apache text are included in
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+ this repository's LICENSE file.
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+
25
+ These pretrained weights are NOT covered by LibreYOLO's MIT license and must
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+ not be treated as commercially cleared. Users are responsible for reviewing
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+ and complying with the upstream terms.
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+
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+ Architecture source: https://github.com/RicePasteM/Dome-DETR
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+ Pinned code commit: 2dde3bc1946a3e9fad9abd0612b59fc39bd6b861
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+ Source headers: Copyright (c) 2025 The Dome-DETR Authors.
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+ Source-code license: Apache License 2.0.
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+
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+ Conversion adds LibreYOLO checkpoint metadata only. State-dict keys and learned
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+ tensors are unchanged.
README.md ADDED
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+ ---
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+ license: other
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+ license_name: dome-detr-academic-research-only
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+ license_link: https://huggingface.co/RicePasteM/Dome-DETR/blob/530230620d1f3261a267d462989cddf204cc6e10/README.md
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+ library_name: libreyolo
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+ pipeline_tag: object-detection
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+ tags:
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+ - object-detection
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+ - dome-detr
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+ - tiny-object-detection
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+ - aitod
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+ - academic-research-only
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+ - non-commercial
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+ ---
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+
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+ # LibreDOMEDETRl-aitod
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+
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+ Dome-DETR L trained on AI-TOD-V2 (9 output
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+ classes), converted for LibreYOLO at 800x800.
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+
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+ > ## ACADEMIC-RESEARCH-ONLY WEIGHTS
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+ >
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+ > The upstream model card says these weight files are **for academic research
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+ > purposes only**. They are **not covered by LibreYOLO's MIT license** and must
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+ > not be treated as commercially cleared.
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+ >
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+ > The same upstream card also says the project is Apache-2.0, but it has no
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+ > license metadata and links to a LICENSE file that does not exist in the
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+ > weight repository. LibreYOLO's maintainer approved this mirror by treating
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+ > the Apache statement as the redistribution basis and preserving the stricter
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+ > academic-only sentence as the use restriction. This is LibreYOLO's disclosed
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+ > interpretation, not clarification from the Dome-DETR authors. Review the
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+ > pinned upstream card and the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE)
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+ > in this repository before use.
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+
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+ ```python
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+ from libreyolo import LibreYOLO
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+
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+ model = LibreYOLO("LibreDOMEDETRl-aitod.pt")
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+ results = model.predict("image.jpg")
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+ ```
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+
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+ ## Source
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+
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+ Official upstream weight file:
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+ [`best_ckpts_dome_2026/aitod-l-best.pth`](https://huggingface.co/RicePasteM/Dome-DETR/blob/530230620d1f3261a267d462989cddf204cc6e10/best_ckpts_dome_2026/aitod-l-best.pth)
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+
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+ - Upstream model revision: `530230620d1f3261a267d462989cddf204cc6e10`
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+ - Source SHA-256: `08525b4bd445e1f193bbc2bb252ddae0f144f542912a95a38111c9a4b9a53cbe`
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+ - Converted SHA-256: `a0d3f7f54fc4b08766bb087e2d8c2d794885d80b27a2b171906a159cfb94fa61`
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+
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+ The Dome-DETR architecture source is Apache-2.0 at commit
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+ [`2dde3bc1946a3e9fad9abd0612b59fc39bd6b861`](https://github.com/RicePasteM/Dome-DETR/commit/2dde3bc1946a3e9fad9abd0612b59fc39bd6b861).
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+ Copyright (c) 2025 The Dome-DETR Authors, as stated in its source headers.
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+ That source-code license and LibreYOLO's MIT code license do not remove the
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+ academic-only restriction stated for these pretrained weights.
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+
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+ ## Modifications
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+
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+ LibreYOLO adds checkpoint-schema metadata, including the dataset variant,
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+ class names, pinned source revision, and source SHA-256. State-dict keys and
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+ learned tensors are unchanged. The converted checkpoint loads strictly into
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+ LibreYOLO's native implementation. See
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+ [`weights/convert_domedetr_weights.py`](https://github.com/LibreYOLO/libreyolo/blob/dev/weights/convert_domedetr_weights.py).
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+
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+ ## License and terms
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+
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+ **Academic research purposes only**, following the stricter statement on the
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+ upstream weight card. The upstream Apache-2.0 statement and its missing weight
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+ repository LICENSE file are documented without omission. See
71
+ [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE).