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Data · dataset · 2021

Dataset of Stagnant Water and Wet Surface with Annotations

Listed in Teesside University Research Data Repository

Stagnant Water detection is a very challenging task due to mudding or reflection of surrounding .

Description

Therefore, to increase the accuracy of stagnant water detection by avoiding misclassification; additional images of wet surface are added. With this objective, we have created a dataset of 1976 images with annotations.

The dataset consists of RGB labeled images (256 × 256 pixels) for two classes, namely water and wet surface. The images were taken from the top view and side view with varying daylight conditions. The rear camera of a mobile phone is used to capture images.

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The annotations are in the YOLO (You Only Look Once) format.

Links

Where it is published

Catalogue records · 1

Topics

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Image 65%
Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/y6zyrnxbfm.415 h agoJSON v1
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