More on
pedestrian detection.

  Recent Daimler
 publications on pedestrian detection

Download

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.