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@@ -21,6 +21,12 @@ This model was contributed by [VladOS95-cyber](https://github.com/VladOS95-cyber
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  This is the HF transformers implementation for D-FINE
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  ### **Performance**
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  D-FINE, a powerful real-time object detector that achieves outstanding localization precision by redefining the bounding box regression task in DETR models. D-FINE comprises two key components: Fine-grained Distribution Refinement (FDR) and Global Optimal Localization Self-Distillation (GO-LSD).
 
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  This is the HF transformers implementation for D-FINE
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+ _coco -> model trained on COCO
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+ _obj365 -> model trained on Object365
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+ _obj2coco -> model trained on Object365 and then finetuned on COCO
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  ### **Performance**
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  D-FINE, a powerful real-time object detector that achieves outstanding localization precision by redefining the bounding box regression task in DETR models. D-FINE comprises two key components: Fine-grained Distribution Refinement (FDR) and Global Optimal Localization Self-Distillation (GO-LSD).