README.md

metadata

title: D-FINE Demo
emoji: 🤖
colorFrom: gray
colorTo: blue
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
python_version: 3.12
suggested_hardware: cpu-basic
models:
  - Laudando-Associates-LLC/d-fine
  - Laudando-Associates-LLC/d-fine-nano
  - Laudando-Associates-LLC/d-fine-small
  - Laudando-Associates-LLC/d-fine-medium
  - Laudando-Associates-LLC/d-fine-large
  - Laudando-Associates-LLC/d-fine-xlarge
datasets:
  - Laudando-Associates-LLC/pucks
tags:
  - object-detection
  - pytorch
  - onnx
  - safetensors
  - transformers
  - agtech
  - d_fine
fullWidth: true
disable_embedding: false

Citation

If you use D-FINE or its methods in your work, please cite the following BibTeX entries:

@misc{peng2024dfine,
      title={D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement},
      author={Yansong Peng and Hebei Li and Peixi Wu and Yueyi Zhang and Xiaoyan Sun and Feng Wu},
      year={2024},
      eprint={2410.13842},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}