Hi, would you be interested in adding bigdetection to Hugging Face? The Hub offers free hosting, and it would make your work more accessible and visible to the rest of the ML community. There is already a amazon organization on Hugging Face (https://huggingface.co/amazon) to add models/datasets/spaces(web demos) to.
Thank you for the information, it is definitely a good idea to make this benchmark more accessible! Let me look into this and reply to you at a later time, thanks again.
Hi, would you be interested in adding bigdetection to Hugging Face? The Hub offers free hosting, and it would make your work more accessible and visible to the rest of the ML community. There is already a amazon organization on Hugging Face (https://huggingface.co/amazon) to add models/datasets/spaces(web demos) to.
Example from other organizations: Keras: https://huggingface.co/keras-io Microsoft: https://huggingface.co/microsoft Facebook: https://huggingface.co/facebook
Example spaces with repos: github: https://github.com/salesforce/BLIP Spaces: https://huggingface.co/spaces/salesforce/BLIP
github: https://github.com/facebookresearch/omnivore Spaces: https://huggingface.co/spaces/akhaliq/omnivore
and here are guides for adding spaces/models/datasets to your org
How to add a Space: https://huggingface.co/blog/gradio-spaces how to add models: https://huggingface.co/docs/hub/adding-a-model uploading a dataset: https://huggingface.co/docs/datasets/upload_dataset.html
Please let us know if you would be interested and if you have any questions, we can also help with the technical implementation.