Closed heegwang27 closed 2 months ago
Thanks for your attention to our work. All datasets in this paper will be public in the future~
However, I am still looking for a reliable way to share these files (~= 4~6GB * 13) with my readers due to the limitation of Google Drive.
It is also worth mentioning that you can prepare the kitti-c dataset yourself by following this link: https://github.com/hendrycks/robustness.
Thank you for your response. I look forward to accessing the data in the future.
I have a question though—when I look at Figure 1 in the supplementary material of the paper, the KITTI-C dataset seems to appear as BGR images.
Is there a specific reason for this? Additionally, why is only the "pixelate" corruption in RGB format?
You can check this link for the data 'We have released the full KITTI-C dataset in huggingface! Please check the link for more: https://huggingface.co/datasets/anthemlin/kitti-c' :)
For your doubt of the "pixelate" corruption, you may check this paper 'Benchmarking Neural Network Robustness to Common Corruptions and Perturbations' for more details.
Thank you very much for your kindness. Thanks to your help, I was able to download and check the data. However, I still have a question: it seems that the R and B channels in the KITTI-C dataset have been swapped. For example, a red car in the original dataset appears blue in this dataset. Is there a specific reason for swapping the R and B channels? I couldn't find any mention of this in the paper you referred to. Thank you :)
I see what you mean, I will check the generated data and correct how the image is saved (One possible reason is that the default setting of opencv-python does not meet my requirements). Thank you for kindly pointing out this issue~ I will update the kitti-c dataset once this minor issue is solved.
It seems like the data only includes Gaussian corruption. Could you provide us with the complete KITTI-C dataset?