Wow, thanks ❤

👏👏👏👏👏

Super cool!

New experience

Muito bom!!!

Great work @AmaraHub

Is this paid internships!??

🎖 🥇

Thank you very much for this valuable video, very interesting and helpful.

👍 P r o m o S M

It's amazing! Seriously it will make HM easy

Thank for uploading it here

I wqs loved it

great session

Sir, I am not to see the pink box in ID editor, 2:52

Thanks for sharing ❤

Well done team👏🏽👏🏽👏🏽

Nice! Some tiny things to improve in the next version. 1.55: Don't use web search when you already know the address, just put it in the address bar of the browser. (Or, just search for "HOTOSM".) 2.35: You say that you want to click on an easy task, but you click one with a moderate level.

Nice

Good work and very insightful.. is it Object oriented programming

How can one upload Shapefile to JOSM or OpenStreetMap instead of drawing it in JOSM?

kzfaq.info/love/FlntCK7q54k9OZcAoDwrwg

Thank you very much, that was helpful! However: Regarding Relations I'm lost. Is there some stuff which can help me to understand things better regarding relations?

Seeing this statements from another point of view. Yes mapping buildings from AI is easier, mappers just need to Click, accept and Upload the 'suggested" building figure, do not even needs to tag them; 99.9% of the buildings in the work are just an orthogonalized figure, mapper do not need to edit anything. In the other hand Roads requires editing and thinking, and off course they are "more difficult". AI is not meant to replace, seeing, analizing, evaluating, editing and tagging while we edit the map. Are we expecting all these processes to be done by IA instead of us in #Openstreetmap? UNREALISTIC

Meanwhile there is an eagerness for "fill" the map with data, because there are empty places, or Big Corporate are paying campaings to fill the map, and given untrained mappers with this kind of tools, of course you will have errors. AI assited data is NOT JUST to convert all suggested data in Residential Roads and them just "upload" to the database. The data suggested to be "good" requires mappers to be "good" as well. At the end of the day the data uploaded and the quality of such data is final responsability of the mappers. TRAING the mappers PROPERLY before just trowing them to use this tools without proper criteria and training... This could be also extended to the "Instructors" used to traing the mappers, under the principle of "Train the Trainers"...

Its curious to me that people seems to be concerned about fast mapping against quality mapping. What kind of Quality are we talking about? 90% of the roads editions in the world are done WITHOUT ajusting the imagery off-set or disregarding the GPS traces Data available. So the IA is not less quality for already mapped areas and roads who do not match at all the "real" position of the ways in comparison with the satellite imagery. By the way RAPID is NOT the sofware who made the "suggestion" or extract the data from the imagery. RAPID is just a fork of ID to "show" that derived data, is UP to the mapper to validate or NOT such suggested data and integrate in their changesets. All those roads could be adjusted and improved before being uploaded to the database. IS NOT a blind process, if the data is Wrong is the ultimate responsabiity of the mapper not the Rapid program neither the IA.

Its curious to me that people seems to be concerned about fast mapping against quality mapping. What kind of Quality are we talking about? 90% of the roads editions in the world are done WITHOUT ajusting the imagery off-set or disregarding the GPS traces Data available. So the IA is not less quality for already mapped areas and roads who do not match at all the "real" position of the ways in comparison with the satellite imagery. By the way RAPID is NOT the sofware who made the "suggestion" or extract the data from the imagery. RAPID is just a fork of ID to "show" that derived data, is UP to the mapper to validate or NOT such suggested data and integrate in their changesets. All those roads could be adjusted and improved before being uploaded to the database. IS NOT a blind process, if the data is Wrong is the ultimate responsabiity of the mapper not the Rapid program neither the IA.

Could you please elaborate on the Sudan case? 18:20

This video is old and showing Tasking Manager 3

why the social engineering on OSMs?? It is assumed that everyone is included, because anyone can join or edit or use. This makes me suspicious.

Thanks for taking the time to post this. We wish you well!

Hey! The audio on this is very inaudible between 24 mins and 27 minutes - is there a transcript? Thanks! :)

Inspiring to see all of the different uses of the OSM data in the field.

Amazing 👏👏👏👏

i dont want to register

Can't believe nobody's commented before me! Anyway, thanks to everybody involved with osm! I'm tryng to learn how to edit my local cycle path which closed today for one year. I'd like to keep the path, but change its status to closed, or under construction or something similar. I have an account, but just need a pointer towards the best way to carry out this helpful edit.

Excellent summary of HOTs work ❤

What if I have multiple layers and I would like to get info on click just for selected one?

This is Mwesa from Solidarity Initiative for Refugees, I really appreciate getting this record on youtube and hope it will be helping mappers for sure thank you.

It was great catching up with the current cohort for HOT DQI 2022

Thanks for the JOSM class

timeline 00:00 introduction 01:12 what is validating about 03:10 correct tagging and correct depiction features 04:49 what is a good map about 07:42 think about mappers too 09:36 our target 12:50 writing feedback 16:26 tools 22:33 how to become more involved 24:04 the field teams 33:33 JOSM tutorials links 37:09 map features and tagging 44:10 tasking manager interface 1:05:48 JOSM interface 1:09:38 map paint styles 1:11:35 first stage of validation 1:15:18 roads validation 1:22:25 validation tool 1:25:27 check work of the individual mapper 1:29:04 mapping roads in the countryside 1:38:05 waterways 1:45:47 connecting waterways and roads

This is good even if we were not picked as data quality interns we can still follow sessions here thanks

merci

Salut. Je viens de tomber sur cette chaîne. J'aimerais vraiment travailler avec vous. J'suis très passionné des études de terrain.

Bonne présentation et merci

glad to be at this meeting

think you