feat: ✨ D-FINE Object Detection model inference and training added #348
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Signed-off-by: Onuralp SEZER <[email protected]>
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Description
How to Train D-Fine Object Detection on a Custom Dataset notebook added
D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as Fine-grained Distribution Refinement (FDR) and introduces Global Optimal Localization Self-Distillation (GO-LSD), achieving outstanding performance without introducing additional inference and training costs.
D-FINE is available in 5 different sizes, ranging from
4Mto62Mparameters, and capable of achieving from42.8to55.8mAP on the COCO dataset. It is also available in Object365+COCO trained 4 different sizes, ranging from10Mto62Mparameters, and capable of achieving from50.7to59.3mAP on the Object365 finetuned models