On an 857-image orchard dataset, RF-DETR achieved the best mAP@50 for both single-class (0.9464) and multi-class (0.8298) greenfruit detection, while YOLOv12N and YOLOv12L led mAP@50:95 in the two settings.
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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
On an 857-image orchard dataset, RF-DETR achieved the best mAP@50 for both single-class (0.9464) and multi-class (0.8298) greenfruit detection, while YOLOv12N and YOLOv12L led mAP@50:95 in the two settings.