Building Type Classification Dataset from Satellite ImageryBuilding Type Classification Dataset from Satellite Imagery

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Madhu Goutham Reddy Ambati
DOI: 10.5281/zenodo.18512944
Cited by: 0

Abstract

This dataset contains 1,553 satellite images of buildings from across the United States, classified into 7 categories: Commercial (206), High-rise (294), Hospital (204), Industrial (217), Multi-family (220), Schools (206), and Single-family (206). Images are 512x512 pixels at approximately 0.15 m/pixel resolution, collected from Google Earth. The dataset was used for training a DenseNet201 model achieving 84.40% classification accuracy.

Fields of Study & Subjects

Automated Road and Building Extraction Remote-Sensing Image Classification Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Document type
Dataset