LibreRFDETRm Obb
LibreYOLO RF-DETR medium checkpoint fine-tuned for oriented bounding box detection.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 116–128 MB
- Versión
- vRevision d3cde4b
- Actualizado
- 12 oct 2026
- Descargas
- 0
- Fuente
- Hugging Face
Descripción de la fuente
LibreRFDETRm-obb
LibreYOLO RF-DETR medium checkpoint fine-tuned for oriented bounding box detection.
Fine-tuned on My First Project - v8, a Roboflow Universe UAV vehicle OBB dataset provided by a Roboflow user:
https://universe.roboflow.com/bobo-48pem/my-first-project-ewwrm
This model was not trained on DOTA.
Files
LibreRFDETRm-obb.pt: lean LibreYOLO PyTorch checkpoint with EMA inference weights and checkpoint schema metadata.
Dataset
Dataset license: Creative Commons Attribution 4.0 International (CC BY 4.0).
Classes:
- bike
- bus
- car
- other_vehicle
- taxi
- truck
Local development export metadata reported 932 source/export images, YOLOv8 Oriented Object Detection format, and Roboflow preprocessing/augmentation.
Metrics
UAV-OBB validation split, current LibreYOLO dev evaluator:
- mAP50: 0.778212
- mAP50-95: 0.369263
- mAP75: 0.326096
- precision: 0.072214
- recall: 0.900434
- best epoch: 10
Usage
from libreyolo import LibreRFDETR
model = LibreRFDETR("LibreRFDETRm-obb.pt", task="obb")
results = model.predict("image.jpg")
License
These fine-tuned weights are released under CC BY 4.0 to preserve the attribution requirements of the training dataset. See LICENSE and NOTICE.
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: cc-by-4.0 tags: - libreyolo - rfdetr - oriented-object-detection - obb - object-detection - computer-vision datasets: - bobo-48pem/my-first-project-ewwrm pipeline_tag: object-detection --- # LibreRFDETRm-obb LibreYOLO RF-DETR medium checkpoint fine-tuned for oriented bounding box detection. Fine-tuned on `My First Project - v8`, a Roboflow Universe UAV vehicle OBB dataset provided by a Roboflow user: https://universe.roboflow.com/bobo-48pem/my-first-project-ewwrm This model was not trained on DOTA. ## Files - `LibreRFDETRm-obb.pt`: lean LibreYOLO PyTorch checkpoint with EMA inference weights and checkpoint schema metadata. ## Dataset Dataset license: Creative Commons Attribution 4.0 International (CC BY 4.0). Classes: - bike - bus - car - other_vehicle - taxi - truck Local development export metadata reported 932 source/export images, YOLOv8 Oriented Object Detection format, and Roboflow preprocessing/augmentation. ## Metrics UAV-OBB validation split, current LibreYOLO dev evaluator: - mAP50: 0.778212 - mAP50-95: 0.369263 - mAP75: 0.326096 - precision: 0.072214 - recall: 0.900434 - best epoch: 10 ## Usage ```python from libreyolo import LibreRFDETR model = LibreRFDETR("LibreRFDETRm-obb.pt", task="obb") results = model.predict("image.jpg") ``` ## License These fine-tuned weights are released under CC BY 4.0 to preserve the attribution requirements of the training dataset. See `LICENSE` and `NOTICE`.
Source context: 0 downloads · 0 likes · Pipeline object-detection · Repo LibreYOLO/LibreRFDETRm-obb
