Man
Professional
- Messages
- 3,054
- Reaction score
- 579
- Points
- 113
The higher the mountains, the lower the Priors! Seriously speaking, geolocation analysis on maps is a complicated thing and requires serious attention to detail. Have you seen how they play the Geoguessr championship [ 1 ]? There, the guys determine the country in a split second by the type of license plates and road signs, the type of relief and vegetation. It looks like magic, but in fact, it is years and years of hard training and memorization of various useful facts.
But what if you don’t want to remember these very facts? This is where neural networks come to our aid. Damn it, ChatGPT was able to accurately guess at least a Russian city from an inconspicuous photo of equally inconspicuous St. Petersburg sleeping areas. And if there is a landmark or just an interesting place on the map, the accuracy of the neural network increases by an order of magnitude, right down to the exact location where the photo was taken. It’s a little scary, to be honest.
But what if the old-fashioned way? Without your Skynet, the search will lead you to the good old OpenStreetMap [ 2 ] and OverPass Turbo [ 3 ]. If you don’t know how to generate a code for a request, there’s a manual. And if you don’t want to read the manual and want to cheat a little, ChatGPT will write you a code for a request like a brother. You just have to ask. It’s a helpful creature. Bye. Otherwise, this is the best solution for searching for geolocation. And, of course, reverse image search: Google Lens , Yandex Images and TinEye [ 4 ] will help you.
But there are also special features. I’m talking about PeakVisor [ 5 ]. If the photo you need has mountains, consider yourself incredibly lucky. This utility will allow you to calculate the approximate location where the photo was taken based on the characteristic relief of the mountain line. That’s how far technology has come!
And for dessert, one more tool. With its help, you can determine by the shadow at what time the photo was taken. SunCalc [ 6 ] allows us to do this magic. Set the desired date, time and geolocation. And voila - by the length of the shadow, you can roughly estimate at what time the desired landscape was snapped. This is not like jumping out of bed into boots! Technology!
Use these tools wisely! Happy hunting to all!
But what if you don’t want to remember these very facts? This is where neural networks come to our aid. Damn it, ChatGPT was able to accurately guess at least a Russian city from an inconspicuous photo of equally inconspicuous St. Petersburg sleeping areas. And if there is a landmark or just an interesting place on the map, the accuracy of the neural network increases by an order of magnitude, right down to the exact location where the photo was taken. It’s a little scary, to be honest.
But what if the old-fashioned way? Without your Skynet, the search will lead you to the good old OpenStreetMap [ 2 ] and OverPass Turbo [ 3 ]. If you don’t know how to generate a code for a request, there’s a manual. And if you don’t want to read the manual and want to cheat a little, ChatGPT will write you a code for a request like a brother. You just have to ask. It’s a helpful creature. Bye. Otherwise, this is the best solution for searching for geolocation. And, of course, reverse image search: Google Lens , Yandex Images and TinEye [ 4 ] will help you.
But there are also special features. I’m talking about PeakVisor [ 5 ]. If the photo you need has mountains, consider yourself incredibly lucky. This utility will allow you to calculate the approximate location where the photo was taken based on the characteristic relief of the mountain line. That’s how far technology has come!
And for dessert, one more tool. With its help, you can determine by the shadow at what time the photo was taken. SunCalc [ 6 ] allows us to do this magic. Set the desired date, time and geolocation. And voila - by the length of the shadow, you can roughly estimate at what time the desired landscape was snapped. This is not like jumping out of bed into boots! Technology!
Use these tools wisely! Happy hunting to all!
