Land Use Land Cover (LULC) analysis on satellite images using deep learning-based methods is significantly helpful in understanding the geography, socio-economic conditions, poverty levels, and urban sprawl in developing countries. Recent works involve segmentation with LULC classes such as farmland, built-up areas, forests, meadows, water bodies, etc. Training deep learning methods on satellite images requires large sets of images annotated with LULC classes. However, annotated data for developing countries are scarce due to a lack of funding, absence of dedicated residential/industrial/economic zones, a large population, and diverse building materials. BD-SAT provides a high-resolution dataset that includes pixel-by-pixel LULC annotations for Dhaka metropolitan city and surrounding rural/urban areas. Using a strict and standardized procedure, the ground truth is created using Bing satellite imagery with a ground spatial distance of 2.22 meters per pixel. A three-stage, well-defined annotation process has been followed with support from GIS experts to ensure the reliability of the annotations. We performed several experiments to establish benchmark results. The results show that the annotated BD-SAT is sufficient to train large deep learning models with adequate accuracy for five major LULC classes: forest, farmland, built-up areas, water bodies, and meadows.

Microsoft Corp. on Friday blamed "accidental human error" for its Bing search engine not showing results for the query "tank man" in the United States and elsewhere after users raised concerns about possible censorship around the Tiananmen Square crackdown anniversary. Users, including in Germany and Singapore, reported Friday that when they performed the search Bing returned the message, "There are no results for tank man." Hours after Microsoft acknowledged the issue, the same search returned only pictures of tanks elsewhere in the world. "Tank man" is often used to describe an unidentified person famously pictured standing before tanks in China's Tiananmen Square during pro-democracy demonstrations in June 1989. Microsoft said the issue was "due to an accidental human error and we are actively working to resolve this."