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.

Date Created 2018-07-25 (6 years ago)

Commits 110 (last one about a year ago)

Stargazers 137 (0 this week)

Watchers 8 (0 this week)

Forks 33

License gpl-3.0

Ranking

RepositoryStats indexes 585,880 repositories, of these TIBHannover/GeoEstimation is ranked #234,172 (60th percentile) for total stargazers, and #244,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #42,575/116,710.

TIBHannover/GeoEstimation is also tagged with popular topics, for these it's ranked: deep-learning (#4,315/8407), pytorch (#3,017/5958)

Other Information

TIBHannover/GeoEstimation has Github issues enabled, there are 4 open issues and 22 closed issues.

There have been 2 releases, the latest one was published on 2020-12-14 (3 years ago) with the name PyTorch base_M model (ResNet50).

Homepage URL: https://labs.tib.eu/geoestimation

All Topics

pytorch deep-learning geolocalization scene-classification geolocation-estimation

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5 commits on the default branch (master) since jan '22

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updated: 2024-11-17 @ 03:01am, id: 142275851 / R_kgDOCHr1Cw