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    <a href="https://arxiv.org/abs/2504.13099"><img src="https://img.shields.io/badge/arXiv-2504.13099-B31B1B?logo=arxiv&logoColor=white" /></a>
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  </p>
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- ### Refer to the Training Script and Documentation
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- [![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-finetune-rf-detr-on-detection-dataset.ipynb)
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- [![roboflow](https://raw.githubusercontent.com/roboflow-ai/notebooks/main/assets/badges/roboflow-blogpost.svg)](https://blog.roboflow.com/rf-detr)
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  ### Refer to this amazing paper entitled:  
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  **RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity** at: [arxiv.org/abs/2504.13099](https://arxiv.org/abs/2504.13099)
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    <a href="https://arxiv.org/abs/2504.13099"><img src="https://img.shields.io/badge/arXiv-2504.13099-B31B1B?logo=arxiv&logoColor=white" /></a>
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  </p>
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  ### Refer to this amazing paper entitled:  
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  **RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity** at: [arxiv.org/abs/2504.13099](https://arxiv.org/abs/2504.13099)
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