BDOT10k-seg: A Dataset for Semantic Segmentation
[ 1 ] Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ SzD ] doctoral school student
[2.2] Automation, electronics, electrical engineering and space technology
2023
chapter in monograph / paper
english
- BDOT10k
- remote sensing
- aerial images
- semantic segmentation
- instance segmentation
EN In 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.
401 - 406
Licencja Politechniki Łódzkiej/Lodz University of Technology License
open repository
final published version
20