The new Artificial Intelligence (AI) algorithm called PIGEON, developed to predict geolocations based on Instagram images, illustrates a significant advancement in image analysis and data science. Utilizing a training set derived from the GeoGuessr game, consisting of over 400,000 images, PIGEON has been designed to identify distinctive elements that suggest a specific place, climate, date of the year, among others. #AI #MachineLearning
This technique is based on Open Source Intelligence (OSINT) and can analyze details as meticulous as the language in a store or the type of flora in a photograph. Even more impressive, PIGEON uses a Voronoi Tessellation diagram to select the most optimal training set of images and achieve effective scattering in each geo-cell. #OSINT #DataScience #ImageRecognition
Despite its potential usefulness in various applications, from research to cyber security, PIGEON raises significant questions about data privacy. Specifically, this development highlights the fact that images posted online, even those that seem harmless, can reveal precise geolocation information. #CyberSecurity #Privacy
The metadata generated by the AI can potentially be exploited to infer a user's location, which could have unwanted consequences for the individual's privacy. It's important to note that precise image geolocation can facilitate unwanted tracking and other privacy invasions. Therefore, a conscious and regulated use of this technology is needed to ensure the user's privacy protection. #DataProtection #Ethics
Source: HAAS, L., SKRETA, M., and ALBERTI, S., 2023. PIGEON: Predicting Image Geolocations [online]. July 13, 2023. S.l.: arXiv. [consulted: July 17, 2023]. arXiv:2307.05845. Available at: http://arxiv.org/abs/2307.05845. #ResearchPaper #arXiv
/ Tyler Durden
npub17v…xw746
2023-07-18 19:19:35
Author Public Key
npub17vz4ed6d5gc0f8apz8nhdpcxtl5cvhmke999l0xjp3peuf88pxgq5xw746Published at
2023-07-18 19:19:35Event JSON
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"content": "The new Artificial Intelligence (AI) algorithm called PIGEON, developed to predict geolocations based on Instagram images, illustrates a significant advancement in image analysis and data science. Utilizing a training set derived from the GeoGuessr game, consisting of over 400,000 images, PIGEON has been designed to identify distinctive elements that suggest a specific place, climate, date of the year, among others. #AI #MachineLearning\n\nThis technique is based on Open Source Intelligence (OSINT) and can analyze details as meticulous as the language in a store or the type of flora in a photograph. Even more impressive, PIGEON uses a Voronoi Tessellation diagram to select the most optimal training set of images and achieve effective scattering in each geo-cell. #OSINT #DataScience #ImageRecognition \n\nDespite its potential usefulness in various applications, from research to cyber security, PIGEON raises significant questions about data privacy. Specifically, this development highlights the fact that images posted online, even those that seem harmless, can reveal precise geolocation information. #CyberSecurity #Privacy\n\nThe metadata generated by the AI can potentially be exploited to infer a user's location, which could have unwanted consequences for the individual's privacy. It's important to note that precise image geolocation can facilitate unwanted tracking and other privacy invasions. Therefore, a conscious and regulated use of this technology is needed to ensure the user's privacy protection. #DataProtection #Ethics\n\nSource: HAAS, L., SKRETA, M., and ALBERTI, S., 2023. PIGEON: Predicting Image Geolocations [online]. July 13, 2023. S.l.: arXiv. [consulted: July 17, 2023]. arXiv:2307.05845. Available at: http://arxiv.org/abs/2307.05845. #ResearchPaper #arXiv\n",
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