TMBuD-v2: A Multi-Purpose Urban Landmark Detection Dataset

Recognition and identification of urban landmarks is not a facile task and naturally blends several research topics like image signal processing, computer vision, augmented reality. In this paper we introduce TMBuD-v2 - Timişoara Building Dataset - a multi-purpose dataset for urban landmark recognition. The TMBuD-v2 building dataset contains 1360 images with the resolution of 768 × 1024 pixels taken using a mobile phone from a street view perspective. The images are organized into 144 district landmarks located in several tourist parts of Timisşoara. The proposed dataset offers the possibility of evaluating landmark recognition solutions in urban scenario, salient edges on the buildings, and semantic segmentation of the urban environment. The dataset is available at https://github.com/CipiOrhei/TMBuD

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/isetc63109.2024.10797342
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.68
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article

TMBuD-v2: A Multi-Purpose Urban Landmark Detection Dataset

Ciprian Orhei, Muguraș Mocofan, Radu Vasiu, Silviu Vert
1 citations
Human Mobility and Location-Based Analysis
0.68
article

TMBuD-v2: A Multi-Purpose Urban Landmark Detection Dataset

Ciprian Orhei, Muguraș Mocofan, Radu Vasiu, Silviu Vert
article en
1 citations

Abstract

Recognition and identification of urban landmarks is not a facile task and naturally blends several research topics like image signal processing, computer vision, augmented reality. In this paper we introduce TMBuD-v2 - Timişoara Building Dataset - a multi-purpose dataset for urban landmark recognition. The TMBuD-v2 building dataset contains 1360 images with the resolution of 768 × 1024 pixels taken using a mobile phone from a street view perspective. The images are organized into 144 district landmarks located in several tourist parts of Timisşoara. The proposed dataset offers the possibility of evaluating landmark recognition solutions in urban scenario, salient edges on the buildings, and semantic segmentation of the urban environment. The dataset is available at https://github.com/CipiOrhei/TMBuD

Polytechnic University of Timişoara (RO)
Sustainable cities and communities
Openalex Percentile: Top 20%
Human Mobility and Location-Based Analysis
0.68
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