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kaist-avelab / K-Radar

4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
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Empty folder for 21-37 and 38-58 on google drive #9

Open jb892 opened 1 year ago

jb892 commented 1 year ago

Hi,

The '21-37' and '38-58' folders on google drive are empty. Please help! BTW, can you confirm the integrity of '1-21' folder, maybe some files are missing or incomplete? Is it possible to train only on '1-21' data?

Thanks in advance!

woo9904 commented 10 months ago

Hi, @jb892

I'll reply on their behalf.

Upon checking the Google Drive, it seems there are some issue with the file; we're planning to re-upload the affected part shortly.

Should you require the complete dataset, including the full Tensor data, we suggest a different acquisition method. That is sending the hard disk directly. We kindly request that you provide us with an external hard disk drive (HDD) with a capacity of 18TB or greater. You can send it through international shipping or purchase it via online platforms like Amazon. This data transfer is strictly non-profit basis and has been utilized by various research institutions and corporations.

If you are interested in receiving the full dataset directly on an external HDD, please send an email to @DongHeePaek or me.

Thank you.

DongHeePaek commented 9 months ago

I am writing to clarify a point that the complete dataset was accessible before the camera-ready deadline. We initially shared it via a local server, acknowledging the slower download speeds from this source. To mitigate this, we offered two alternatives:

Firstly, the dataset has been made available through shipping, a method documented on our GitHub page in the "Sending 4D raw data via shipping" section. This approach has been successfully adopted by various institutions and companies.

Secondly, a partial dataset was shared via Google Drive. Due to its 2TB storage limit and the dataset's size of 16TB, including processed data like the Radar cube, full sharing on this platform was impractical. The associated costs, 119,000 KRW per year for 2TB, meant a total annual cost of 952,000 KRW for 16TB, necessitating eight members to forego personal drive usage and share costs. These constraints led us to recommend the local server or shipping method for full dataset access.

We deeply regret the inconvenience caused by the size of the K-Radar dataset and are committed to providing the best possible support for all shipping inquiries received via email. Should you require the full dataset, please do not hesitate to contact us as mentioned in the "Sending 4D raw data via shipping" section of our GitHub page.