LibreYOLO9E2Ec
YOLOv9 end-to-end (NMS-free) variant, size-c, for LibreYOLO.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 97,4–161 MB
- Versión
- vRevision fd006fb
- Actualizado
- 12 oct 2026
- Descargas
- 0
- Fuente
- Hugging Face
Descripción de la fuente
LibreYOLO9E2Ec
YOLOv9 end-to-end (NMS-free) variant, size-c, for LibreYOLO.
Source
Backbone, neck and one-to-many head derived from
MultimediaTechLab/YOLO
(release v1.0-alpha, file v9-c.pt).
Copyright (c) 2024 Kin-Yiu Wong and Hao-Tang Tsui. Licensed under the MIT License.
Modifications
Backbone, neck and one-to-many head: state-dict key remapping only; learned parameters unchanged from upstream.
One-to-one head (head.one2one_cv2, head.one2one_cv3): trained
from scratch on COCO 2017 with the rest of the network frozen.
mAP (COCO val2017, COCOeval): mAP50-95 = 0.4944, mAP50 = 0.6603.
See LibreYOLO issue #84 and PR #156 for the recipe.
License
MIT License. See the LICENSE file in this repository.
Acknowledgements
The YOLOv9-E2E architecture (NMS-free one-to-one head added to YOLOv9) and the frozen-backbone fine-tuning recipe used to train the released weights are the work of testdummyvt . first proposed in LibreYOLO issue #84 and contributed via PR #156.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 26 ago
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: mit library_name: libreyolo tags: - object-detection - yolov9 - nms-free - end-to-end --- # LibreYOLO9E2Ec YOLOv9 end-to-end (NMS-free) variant, size-c, for LibreYOLO. ## Source Backbone, neck and one-to-many head derived from [MultimediaTechLab/YOLO](https://github.com/MultimediaTechLab/YOLO) (release v1.0-alpha, file `v9-c.pt`). Copyright (c) 2024 Kin-Yiu Wong and Hao-Tang Tsui. Licensed under the MIT License. ## Modifications Backbone, neck and one-to-many head: state-dict key remapping only; learned parameters unchanged from upstream. One-to-one head (`head.one2one_cv2`, `head.one2one_cv3`): trained from scratch on COCO 2017 with the rest of the network frozen. mAP (COCO val2017, COCOeval): **mAP50-95 = 0.4944, mAP50 = 0.6603**. See [LibreYOLO issue #84](https://github.com/LibreYOLO/libreyolo/issues/84) and [PR #156](https://github.com/LibreYOLO/libreyolo/pull/156) for the recipe. ## License MIT License. See the [`LICENSE`](./LICENSE) file in this repository. ## Acknowledgements The YOLOv9-E2E architecture (NMS-free one-to-one head added to YOLOv9) and the frozen-backbone fine-tuning recipe used to train the released weights are the work of [testdummyvt](https://github.com/testdummyvt) . first proposed in [LibreYOLO issue #84](https://github.com/LibreYOLO/libreyolo/issues/84) and contributed via [PR #156](https://github.com/LibreYOLO/libreyolo/pull/156).
Source context: 0 downloads · 0 likes · Pipeline object-detection · Library libreyolo · Repo LibreYOLO/LibreYOLO9E2Ec
