Release Strip R-CNN models on Hugging Face #14
Description
Hi @YXB-NKU 🤗
I'm Niels from the Hugging Face open-source team. I discovered your work on Strip R-CNN for remote sensing object detection on arXiv (https://arxiv.org/abs/2501.03775) and was very impressed by your results!
We noticed you've released pre-trained Strip R-CNN models on Google Drive. We believe hosting these models on the Hugging Face Hub (https://huggingface.co/models) would significantly increase their visibility and accessibility within the research community.
The Hugging Face Hub offers several key advantages:
- Improved Discoverability: Researchers can easily find your models using our powerful search and filtering capabilities.
- Enhanced Collaboration: The Hub fosters collaboration by enabling users to easily download, use, and contribute to your models.
- Detailed Metadata: Model cards allow you to provide comprehensive information about your models, including architecture, training data, and performance metrics.
- Version Control: The Hub simplifies managing different versions of your model.
- Community Engagement: Connect with the broader AI community and receive valuable feedback.
We'd be happy to assist you with the upload process. You can find a helpful guide here: https://huggingface.co/docs/hub/models-uploading. For PyTorch models, the PyTorchModelHubMixin class simplifies things further.
Let me know if you're interested!
Kind regards,
Niels
ML Engineer @ Hugging Face 🤗