AerialWaste

AerialWaste is a dataset for the discovery of illegal landfill. Illegal landfills from aerial images present a visual heterogeneity of the scenes in which waste dumps appear and present a diverse nature of the objects that compose a waste deposit. When observed from above waste dumps appear as complex arrangements of objects of different shapes, sizes, and orientations. The dataset consists of +10,000 images from three different sources and contains annotations at different granularities: Binary labels: images are classified based on the presence or absence of waste. Multi-class multi-label: a subset of images is annotated based on the presence of specific waste objects. Weakly-supervised localization: a subset of images is annotated with ground truth segmentation masks surrounding relevant waste objects. Visit the Github page for scripts and instructions on how to use this dataset: https://github.com/rnt-pmi/AerialWaste Visit the Dataset Page for more information: https://aerialwaste.org/ <strong>License</strong> Creative Commons CC BY licensing scheme (see LICENSE file). The usage of Google Imagery must respect the Google Earth terms and conditions [https://about.google/brand-resource-center/products-and-services/geo-guidelines/].