TIBHannover/GeoEstimation
This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Kader Pustu-Iren, Ralph Ewerth: "Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification", In: European Conference on Computer Vision (ECCV), Munich, 2018.
This project, developed for researchers, used to help determine where a photo was taken based on its visual content. By analyzing the scenes within images, it could estimate the geographical coordinates (latitude and longitude) for a given input image. The primary users were researchers studying computer vision and location-based image analysis.
156 stars.
Use this if you are a researcher interested in the theoretical aspects and ethical considerations of image geolocalization technology, or want to understand the methodology from the original paper.
Not ideal if you are looking for an executable tool or code to perform image geolocalization, as the implementation has been removed due to ethical concerns.
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Jan 19, 2026
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