Fine-Tuning SOTA Object Detection Models on Real-World Datasets
SMRTR summary
Pretrained object detection models like YOLO12, YOLO26, and RF-DETR score near zero on specialized datasets like bone X-rays or cable damage, even with strong COCO benchmarks. After just 10 fine-tuning epochs, performance jumped dramatically on most tasks, proving that fine-tuning is essential before real-world deployment.
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