File:DL SLICER.png

Summary

Description
English: The image features satellite imagery from 45 cities worldwide, including eight cities in Central Asia, among them Astana, Almaty, and Shymkent in Kazakhstan. City names are represented using the International Air Transport Association (IATA) airport codes. The imagery was used for urban analysis to classify cities using machine learning and computer vision methods and was presented as the cover illustration for the codebase (https://github.com/IS2AI/city-identification) accompanying the article “DL-SLICER: Deep Learning for Satellite-Based Identification of Cities with Enhanced Resemblance” by Bissarinova, Ulzhan; Aidana Tleuken; Sofiya Alimukhambetova; Huseyin Atakan Varol; and Ferhat Karaca (2024), published in Buildings, 14(2): 551.
Date
Source Own work
Author Ulzhanbis

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Category:CC-BY-4.0#DL%20SLICER.pngCategory:Self-published work
Category:Images from Wiki Science Competition 2025 in Kazakhstan#DL%20SLICER.png Category:Non-photographic media from Wiki Science Competition 2025 Category:Satellite imaging sensors Category:Urban landscapes Category:Quality images of cityscapes Category:Publicly available global data sets Category:Image recognition Category:Classification algorithms Category:Artificial intelligence applications Category:Uploaded via Campaign:wsc-kz
Category:Artificial intelligence applications Category:CC-BY-4.0 Category:Classification algorithms Category:Image recognition Category:Images from Wiki Science Competition 2025 in Kazakhstan Category:Non-photographic media from Wiki Science Competition 2025 Category:Publicly available global data sets Category:Quality images of cityscapes Category:Satellite imaging sensors Category:Self-published work Category:Uploaded via Campaign:wsc-kz Category:Urban landscapes