Data set links are dead

[MjdMahasneh]

Hello,

I have tried multiple times to download the dataset for my PhD research but it appears that all the links are dead, could anyone please advise on how to access the dataset?

Best, Majed.

[jas-nat]

I also had the same problem.

[Number18-tong]

Me too

[CYL0089]

I run the matlab .m file to download the dataset, failed too. Error on urlreadwrite (line 98).

[BPdark]

Hello any updates @SoonminHwang . Has smb reveived the dataset and would like to share it? my email: h2o2waterbest@gmail.com Would be grateful; many thanks and BR

[JLC7]

./fetch_dataset_kaist_cvpr15.py curl: (52) Empty reply from server [0/43] Download annotations.zip % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 0 0 0 0 0 0 0 0 --:--:-- 0:00:04 --:--:-- 0 curl: (52) Empty reply from server Check md5 checksum for annotations.zip... Traceback (most recent call last): File "./fetch_dataset_kaist_cvpr15.py", line 38, in md5_download = hashlib.md5(open(file, 'rb').read()).hexdigest() IOError: [Errno 2] No such file or directory: 'annotations.zip'

Any one manage to download it?

[hensh2ss]

@SoonminHwang was there ever any resolution here? Would love to get a copy of the dataset if possible.

[MjdMahasneh]

Hello @SoonminHwang, am not sure. I have stopped chasing this matter due to my studies.

However, in the closed issues, I found these about downloading the dataset: https://github.com/SoonminHwang/rgbt-ped-detection/issues/9 https://github.com/SoonminHwang/rgbt-ped-detection/issues/10

Hope they are of help. It would be nice if you kindly get back to me on the status so that I close this issue if you manage to resolve it.

[SoonminHwang]

Sorry for the inconvenience, and thanks for your interest in our dataset. I just pushed a commit that has a script to download the full dataset from AWS. So please checkout the head of master and run below.

$ ./data/scripts/download_dataset_from_aws.sh ${YOUR_PATH_TO_DOWNLOAD_DATASET}

This script will download/extract the dataset and create a symbolic link to ./data/kaist-rgbt.

And you can get paired annotation from AR-CNN or sanitized training annotation from MSDS-RCNN.

Please checkout one of the latest work, MLPD, to get better baseline method and evaluation script.

[MjdMahasneh]

Many thank @SoonminHwang 👍 very much appreciated :)