AerialWaste dataset for landfill discovery in aerial and satellite images.

ABSTRACT: Illegal landfills are sites where garbage is dumped violating waste management laws. Aerial images enable the use of photo interpretation for territory scanning and landfill detection but this practice is hindered by the manual nature of this task which also requires expert knowledge. Deep Learning methods can help capture the analysts' expertise and build automated landfill discovery tools. However, this goal requires public high-quality datasets for model training and testing. At present no such datasets exist and this gap penalizes the research toward scalable and accurate landfill discovery methods. We present a dataset for landfill detection featuring airborne, WorldView-3, and GoogleEarth images annotated by professional photo interpreters. It comprises 3,478 positive and 6,956 negat

SUBMITTER: Torres RN 

PROVIDER: S-EPMC9889343 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature