ustc-community/dfine-large-obj365

object-detection model by ustc-community

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The D-FINE model was proposed in D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement by Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, Feng Wu This model was contributed by VladOS95-cyber with the help of @qubvel-hf This is the HF transformers implementation for D-FINE coco -> model trained on COCO obj365 -> model trained on Object365 obj2coco -> model trained on Object365 and then finetuned on COCO 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). D-FINE is trained on COCO and Objects365 (Lin et al. [2014]) train2017 and validated…

ustc-community/dfine-large-obj365 on Hugging Face A short preview, not the full document.

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  1. D-FINE
  2. Overview
  3. Performance
  4. How to use
  5. Training
  6. Applications

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Model overview

ustc-community/dfine-large-obj365 is a object-detection model repository published by ustc-community on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
object-detection
Library
transformers
Recent downloads (30 days)
1,757
Cumulative likes
2
Hugging Face trending score
0
Reported safetensors parameters
31,952,530
Architecture
DFineForObjectDetection
License
apache-2.0
Access
Not gated by Hugging Face
Created
2025-03-28T13:00:47.000Z
Last modified
2025-05-05T11:37:40.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-24T06:39:31.111Z. Daily imports are snapshots, not real-time monitoring.

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