Fine-Tuning SOTA Object Detection Models on Real-World Datasets

In our previous blog post in this series, we discussed state-of-the-art models for object detection: the architectures, the theory, and what makes YOLO12, YOLO26, and RF-DETR tick. If you want the theoretical background on these models, start there. This post is the practical follow-up: how to actually use these models, how to fine-tune them on […]