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 |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
| This file was uploaded as part of Wiki Science Competition 2025. |
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
