gaps-dataset

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

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3.0.0

Aug 13, 2021

2.1.2

Aug 4, 2020

2.1.1

Oct 15, 2019

2.1.0

Oct 1, 2019

2.0.2

Sep 25, 2019

2.0.1

Sep 12, 2019

2.0.0

Sep 11, 2019

1.1.5

Aug 21, 2019

1.1.4

Oct 27, 2017

1.1.3

Oct 27, 2017

1.1.2

Sep 20, 2017

1.1.1

Aug 15, 2017

1.0.1

Oct 27, 2017

This version

1.0.0

May 9, 2017

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gaps_dataset-1.0.1.zip (6.2 kB view hashes)

Uploaded May 9, 2017 Source

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gaps_dataset-1.0.1-py2.py3-none-any.whl (5.3 kB view hashes)

Uploaded May 9, 2017 Python 2 Python 3

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Hashes for gaps_dataset-1.0.1-py2.py3-none-any.whl

Hashes for gaps_dataset-1.0.1-py2.py3-none-any.whl
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