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/>.
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Details for the file gaps_dataset-1.0.1.zip.
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Details for the file gaps_dataset-1.0.1-py2.py3-none-any.whl.
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- Tags: Python 2, Python 3
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