A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads
Abstract The generation of reference data for machine learning models is challenging for dust emissions due to perpetually dynamic environmental conditions. We generated a new vision dataset with the goal of advancing semantic segmentation to identify and quantify vehicle-induced dust clouds from im...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-022-01918-x |