1 00:00:00,140 --> 00:00:07,430 If you have got a picture of a place and you would like to find where this picture is, then you can 2 00:00:07,430 --> 00:00:09,080 use GSP. 3 00:00:09,680 --> 00:00:19,190 GSP is an AI powered geolocation service to find a picture location, and the way this works is that 4 00:00:19,190 --> 00:00:21,890 it always examines the landmarks. 5 00:00:21,890 --> 00:00:27,410 For example, famous buildings in the background, bridges or natural formations. 6 00:00:28,220 --> 00:00:34,610 It also looks for the types of the trees that are in the picture that might only be found in certain 7 00:00:34,610 --> 00:00:35,450 areas. 8 00:00:36,350 --> 00:00:44,480 In addition to that, GSP examines infrastructures like road signs or building styles or even shapes 9 00:00:44,480 --> 00:00:52,490 of power lines, and it is very helpful to confirm where an image has been taken. 10 00:00:52,490 --> 00:00:57,590 So to use GSP, you want to go to the link that you will find in the resources of this lecture. 11 00:00:57,590 --> 00:00:59,510 And it's currently for free. 12 00:00:59,540 --> 00:01:04,310 And then you want to click here in the middle and upload a certain picture. 13 00:01:04,340 --> 00:01:08,810 I'm going to upload the picture that I have uploaded to Yandex before. 14 00:01:09,010 --> 00:01:11,200 So this is it. 15 00:01:11,980 --> 00:01:15,670 And now it's going to start to analyze the picture. 16 00:01:16,750 --> 00:01:23,080 And if I scroll down we can see that this image is in Spain in a city called Cartagena. 17 00:01:23,650 --> 00:01:29,890 We can also see an explanation on how it were able to identify the location, which is by assigned for 18 00:01:29,920 --> 00:01:36,400 Oscar, and that this is a shipyard in Cartagena, Spain, and that the sign is in Spanish and we can 19 00:01:36,400 --> 00:01:38,350 see mountains in the background. 20 00:01:38,860 --> 00:01:44,170 We will also find some coordinates, so we can copy it and then go to Google Maps. 21 00:01:45,610 --> 00:01:50,920 And then we can paste the coordinates and hit enter and find whether this is right or not. 22 00:01:50,950 --> 00:01:52,960 We can see that this is in Cartagena. 23 00:01:52,990 --> 00:01:58,480 The picture was not taken from the sea obviously, but what I always like to do, because this is actually 24 00:01:58,480 --> 00:01:59,320 incorrect. 25 00:01:59,320 --> 00:02:06,820 What I always like to do is just to say Oscar and then the name of the city, which is Cartagena, like 26 00:02:06,820 --> 00:02:07,570 this. 27 00:02:07,960 --> 00:02:12,910 And we can see that this is the place where the image has been taken. 28 00:02:12,910 --> 00:02:19,740 So I'm going to drop this little person in here to Define whether this is accurate or not. 29 00:02:20,910 --> 00:02:22,680 And here we can see the sign. 30 00:02:22,680 --> 00:02:24,750 So let me come back to the image. 31 00:02:25,500 --> 00:02:27,900 This is the large sign. 32 00:02:30,120 --> 00:02:31,950 And this is the main door. 33 00:02:33,270 --> 00:02:38,010 And as you can see this is where the image has been taken. 34 00:02:38,190 --> 00:02:42,330 So it were able to identify that this was in Cartagena. 35 00:02:42,330 --> 00:02:46,860 But it wasn't able to find where this image or picture has been taken. 36 00:02:46,890 --> 00:02:54,000 But if you go to Google Maps and search for the city and the place that is in the picture, then you 37 00:02:54,000 --> 00:02:59,220 might be able to identify where this image or picture has been taken. 38 00:02:59,250 --> 00:03:04,530 If we scroll down a little bit more, we can find some similar buildings. 39 00:03:04,530 --> 00:03:09,870 But in this case, none of these buildings are related to the place that we are searching for. 40 00:03:10,650 --> 00:03:17,400 Another feature that GSP has is that if you have searched for a person, for example, let me search 41 00:03:17,400 --> 00:03:18,390 for a person. 42 00:03:18,420 --> 00:03:23,040 It can identify from which country this person is. 43 00:03:23,160 --> 00:03:28,990 So we can see That this person is from India, but he is not from Mumbai. 44 00:03:29,590 --> 00:03:35,830 It gives us some random explanation about the architecture and buildings and vegetations, which is 45 00:03:35,830 --> 00:03:37,930 not related to this picture at all. 46 00:03:37,930 --> 00:03:42,430 But somehow it knew that this person is from India. 47 00:03:42,460 --> 00:03:49,930 Let me upload a different picture, for example, this one, and you can see that GSP has identified 48 00:03:49,930 --> 00:03:57,820 that this picture were taken in Nepal and India, and it were taken in India, but not in Nepal. 49 00:03:58,390 --> 00:04:05,170 So sometimes GSP will show you incorrect search results, especially that this temple is blurred. 50 00:04:05,170 --> 00:04:07,270 So it's very hard to identify. 51 00:04:07,270 --> 00:04:11,440 But I would like to cover this in a future section. 52 00:04:11,920 --> 00:04:17,530 So in this lecture you have learned how you can use GSP to identify where a certain picture has been 53 00:04:17,530 --> 00:04:18,250 taken. 54 00:04:18,280 --> 00:04:23,980 Not all search results are correct, so you always need to check whether the information that you have 55 00:04:23,980 --> 00:04:32,080 got are true or not by going to Google Maps, Bing Maps or Yandex Maps, etc. just to validate the accuracy 56 00:04:32,080 --> 00:04:33,490 of the information.