Download script for GAPs deep learning dataset from TU Ilmenau
Project description
The German Asphalt Pavement Distress (GAPs) dataset addresses the issue of comparability in the pavement distress domain by providing a standardized high-quality dataset of large size. This does not only enable researchers to compare their work with other approaches, but also allows to analyze algorithms on real world road surface evaluation data.
For details see the GAPs dataset website <http://www.tu-ilmenau.de/neurob/data-sets-code/gaps/>.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gaps_dataset-1.0.1.zip
(6.2 kB
view hashes)
Built Distribution
Close
Hashes for gaps_dataset-1.0.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 575da5444c87ccb3822aee6fb2ecb86df707963293ff891b4021b4291bcc4e0e |
|
MD5 | 8e957b511d1babd5639fc1a41563a457 |
|
BLAKE2b-256 | 70a3c01aede2d12ae10c309695e5f06c7c0bb72c4d3f193e1e3485a084337c62 |