Download






	More on pedestrian detection.



	Recent Daimler publications on pedestrian detection

Manual Download

Download all of the following files and install them into the same directory:

Dataset part	Size	MD5 hash sum
README_TDCB.pdf
labelData/train	25 MB	7e17bca380056fd75e6e586ef0ed598a
labelData/test	10 MB	cf63c6d0485fb7a0c8e7bd470f88cd66
labelData/valid	3 MB	2adb1ffc2f2b289108f1dfbae27fa2c4
labelData/NonVRU	2 MB	d589c5e27299721b69d63cd3face88d0
camera/train	10 MB	1925b6b9897b2865656cd00ba830c4c4
camera/test	3 MB	1434097ea7daeb22e64c15a54cd102c6
camera/valid	1 MB	d0ae2e6d31b67880c0529ce97720e396
camera/NonVRU	1 MB	ce67797cc6bb4878c621143b474769b9
leftImg8bit/train	22 GB	03a0c18fd281ea770244d094936eedfe
leftImg8bit/test	7 GB	82fc1f7983ab452bd0b1a5c874d04e89
leftImg8bit/valid	2 GB	f08c9fc63173b47fa0716e619e3b5a55
leftImg8bit/NonVRU	2 GB	64d76ee7c65f5ae7f8bb0b790e1984ec
disparity/train	8 GB	2f4b2cd11d5066b6751a6b112d2a7405
disparity/test	2 GB	d72375f453c83bce522edf78cfab9aa6
disparity/valid	826 MB	6366b94297a0efd2e1e1ab177a14f1f
disparity/NonVRU	793 MB	b063cfd2670ca522d172b24e993c1e61
scripts (git)	2 MB	No hashsum because of git repo


		md5sum [file]

	Download by script (BETA)

We provide a setup script for the data in

scripts/setup.py

This scripts downloads and unzips the data in a specified folder.

Execute

python setup.py -o /home/user/exampleDatasetRoot

to download tar.gz into /home/user/exampleDatasetRoot and install it in the same folder.

Execute

python setup.py -o /home/user/exampleDatasetRoot –t /home/user/tars

to download tar.gz into /home/user/tars and install it in the folder /home/user/exampleDatasetRoot


	Further information

Please consult README_TDCB.pdf

For further questions, suggestions or comments about this dataset please contact:
Fabian Flohr (Daimler AG, Dep. of Environment Perception)
Email: [tdcb at fabian-flohr.de]


	Last Update: August 8, 2016.