An OSINT Geolocalization tool for Telegram that find nearby users and groups 📡🌍🔍

Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"

Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"

This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"

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.

Automatic download VPR datasets in a standard format

Code for the CVPR 2024 paper highlight and demo "PIGEON: Predicting Image Geolocations".

Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"

Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"

GeoIP2Fast is the fastest GeoIP2 country/city/asn lookup library. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV and is Pure Python!

[ICCV 2019] Bridging the Domain Gap for Ground-to-Aerial Image Matching

Official Repository of "Learning Sequential Descriptors for Sequence-based Visual Place Recognition "

GAMa: Cross-view Video Geo-localization

Herramienta avanzada de seguimiento de IP y obtención de información de número telefónico

Picarta AI Image Geolocalization API.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Gem that tracks suspicious activity within your user sessions.

A basic example of integration between Ionic and Google Maps

Deep geolocation of social media photos with satellite imagery of Ukraine

Authors official PyTorch implementation of the "Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation" [ICMR 2021] and "Leveraging Selective Prediction for Reliable Image Geolocation" [MMM 2022]