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LibreRFDETRm Obb

LibreYOLO RF-DETR medium checkpoint fine-tuned for oriented bounding box detection.

TipoOtherVersiónRevision d3cde4bCcalidad

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
Hugging FacePrincipalVersión d3cde4b9d4234a05f3b0f35b891ad170fbcb3512
huggingface.co/LibreYOLO/LibreRFDETRm-obb/tree/d3cde4b9d4234a05f3b0f35b891ad170fbcb3512

Verificado 26 ago

Artefactos del modelo

2 artefactos

LibreRFDETRm-obb.onnx

onnx · 116 MB · SHA-256 ad2cfd2a2202…03eb · Hugging Face

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LibreRFDETRm-obb.pt

pt · 128 MB · SHA-256 2e77f722c417…97f5 · Hugging Face

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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