OSMPH / Tabang-AI

Coordinating AI-assisted mapping in the Philippines
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Beta test on Camiguin island to gather feedback on prioritization and validation #4

Closed maning closed 5 years ago

maning commented 5 years ago

This tasking manager project is for evaluating the mapping workflow of tasks-assisted.hotosm.org + RapiD.

image Mapping roads with RapiD in Camiguin Island: https://tasks-assisted.hotosm.org/project/9

After the testing of workflow we would like to answer the following:

@govvin Please lead the first stage of mapping with your CWTS++ students. @adisadit Thank you for preparing the TM project!

govvin commented 5 years ago

Impressions and observations from CWTS++ volunteers for the Camiguin test task

Christine F:

for me po yung RapiD ay malaking tulong sa OSM dahil po natutukoy nya po agad yung road and ang need mo lang gawin is double check kung tama po ba ang pag lapat ng AI or RapiD app sa roads na tinukoy ni RapiD.

Marlon R:

As what i observed when i started to map, it is now very simply to identify a road rather than what we used to before because RapiD can automatically detect a road which symbolize as magenta line so that i can easily set it as a road, connect it to another road or just delete it if it is unnecessary. It was fun to use RapiD as editor and map with AI. I can just finish the assign task much earlier than before.

Leo M:

Images are a bit clearer compared to [Nepal] mapping. Roads are easier to track thanks to RapiD. Encountered areas that has nothing to be mapped. Encountered a magenta line that is out of the work area boundary. Did not encounter magenta lines that is within the work area boundary. Roads are easier to trace compared to the Nepal tasks. Today's tasks are easily completed compared to the Nepal tasks last meeting. Also there are few tasks to deal with compared to the tasks last meeting.

Yelo L:

RapiD makes editing easier for it can detect roads immediately, and you can use the feature so as not to map manually unlike the mapping on ideditor in NEPAL last cwts, we had to map everything manually which made it harder for us. Rapid Interprets roads and the tags but you still need to check if the interpretation is correct.

Richard R:

And for my opinion about usibg RapiD is that it makes me easy to find some patg ways that is hard to find but there some road that is detected but detected just a portion of it and some of the paths are unknown and some of the roads detected are not really roads.

Angelica L:

Para po sakin yung rapid napaka convenient po nya gamitin, madali po gamtin yung sa OSM pero mas madali po ito. Mas mabilis din po makapag identify dito dahil po na rerecognize na yung mga possible roads. Ang kailangan na lang po gawin is icheck kung may road po ba doon and identify pa po yung mga road na hindi nabasa mismo ng rapid,katulad po ng mga path ganon.

Giesel B

I noticed that in mapping rapid is much easier than the other. And I get it better than before.

Ljun

Rapid Tool is very helpful to identify roads slighty blurred because of pixelated imagery

Laurence B

RapiD is muschn easier and helpful in terms of identifying roads, path and other types of ways, but AI is not enough and still human intervention is needed tom make our mapping more accurate and relevant.

Patrick M

it was easily understandable for a beginner like me. I had a smooth work on my time when we had this activity, i enjoyed every minute of it. Pero, sir, nakakalito yung maraming sub-tasks within a single task. Sana katulad nung original na tasking manager, one area for one task lang.

Albert B

[rapid] it helps me to see easily the roads that are existed, and it helps me a lot to do my task very easy. It is easy because it identifies the error of the roads, and in my experience in using this rapid is exciting because it discover what i didn't see. Awesome Mapping

maning commented 5 years ago

Daghang salamat for the user feedback @govvin!

Let's proceed with the validation to evaluate the quality of edits.

govvin commented 5 years ago

Observations and notes fromCamiguin task validation

Better on-boarding best practices can contribute to better data by improving workflow.

govvin commented 5 years ago

Mapping instructions (and on-boarding during mapathons) should highlight important keyboard shortcuts in iD:

Shift+R - toggle detections Alt+W' - toggle OSM data W` - toggle OSM data fill

maning commented 5 years ago

Validation completed today.

Next actions

maning commented 5 years ago

Big thanks to @govvin and his CWTS++ students for testing the project! Below is a short summary of the evaluation (detailed comments for each task are available within the TM project).

Summary

highway | Pre-mapping (2019-05-23) in meters| Post-mapping (2019-09-02) in meters |---|---|---| footway | 977.00 | 4,364.70 path | 20,356.86 | 36,890.56 primary | 63,875.08 | 63,957.88 primary_link | 1,553.75 | 866.01 residential | 49,796.83 | 71,869.66 secondary | 17,440.70 | 17,397.70 service | 4,524.01 | 9,601.30 steps | 21.91 | 21.91 tertiary | 34,667.53 | 35,959.58 track | 34,021.27 | 57,977.43 unclassified | 51,986.94 | 80,918.91 living_street | | 88.75 **Total**| **279,221.88** | **379,914.39**

Next actions

For the next mapping projects, we should:

maning commented 5 years ago

All good here, closing!