Kos, AleksandraMajek, Karol2023-09-252023-09-252023Kos A., Majek K., BDOT10k-seg: A Dataset for Semantic Segmentation. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 401-406, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.63.978-83-66741-92-8http://hdl.handle.net/11652/4839https://doi.org/10.34658/9788366741928.63In this work, we describe BDOT10k-seg, a novel aerial dataset for semantic and instance segmentation. Our data covers almost the entire territory of Poland (314,000 km2) and provides precise pixel-level annotations for 286 classes of topographical objects, including buildings, roads, rivers, lakes, airports, agricultural areas, and forests. BDOT10-seg consists of 60,718 images with a resolution of 3 to 75 centimeters per pixel, and more than 40 million object instances. The average image size is 12,367 px because, unlike other publicly available datasets, we do not modify the source orthoimages. The code for generating the BDOT10k-seg dataset is publicly available.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionBDOT10kremote sensingaerial imagessemantic segmentationinstance segmentationBDOT10kteledetekcjazdjęcia lotniczesegmentacja semantycznasegmentacja instancjiRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.63