Hi Serkan, I've not looked into this properly, but a quick look at a project on the Task Manager shows I can find a validated square:
https://tasks.hotosm.org/project/5182?task=2212#bottom This task 2212 appears in the project geojson, and marked as validated: https://tasks.hotosm.org/api/v1/project/5182/tasks?as_file=true I've not double checked this is what you want, but looks like a good place to start: "type": "MultiPolygon"}, "properties": {"taskId": 2212, "taskSplittable": true, "taskStatus": "VALIDATED", "taskX": 30348, "taskY": 34875, "taskZoom": 16}, "type": "Feature"}, {"geometry": {"coordinates": [[[[-13.2934570288688, 11.4907909783363], [-13.2879638648073, 11.4907909783363], [-13.2879638648073, 11.4961739900467], [-13.2934570288688, 11.4961739900467], [-13.2934570288688, 11.4907909783363]]]], Cheers, Joseph On Tue, 20 Nov 2018 at 03:47, Serkan Karakulak <[email protected]> wrote: > Hi, > I am a graduate student in a Data Science program, and I wanted to get in > touch with you because me and my two other friends are interested in > working on a machine learning project to map areas using their satellite > images and produce their labels. If we obtain a high accuracy, we thought > it could be of use to the hotosm and the missingmaps initiatives. > > I have first heard about Missing Maps when I came across a mapathlon event > two years ago in Istanbul. We were in search for a class project for one of > our courses and I remembered about the mapathlon event and we would be very > happy if we could contribute to the this wonderful initiative. There are > already some previous successful works on this subject, so we are very > hopeful that we could come up with an algorithm with high accuracy. > > In order to develop the model, we need to extract bounding boxes of the > validated tiles we see at hotosm. Then we will extract the satellite images > and their labels using the label-maker API which is developed by DevSeed. > Is there a method to extract the coordinates of these validated tiles? > > Thank you for your time and help. > > Best, > > Serkan > _______________________________________________ > HOT mailing list > [email protected] > https://lists.openstreetmap.org/listinfo/hot >
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