Open maning opened 5 years ago
Some users are reporting they are not seeing the tiles and detection. This likely due to adblocker. "One workaround would be to configure the ad blocker to allow the path /maps/ml_roads on facebook.com, which is the endpoint from which we serve both the satellite imagery and the ML roads data for RapiD." Reference convo in SlackUS
From @ralleon
Some users are reporting they are not seeing the tiles and detection. This likely due to adblocker. "One workaround would be to configure the ad blocker to allow the path /maps/ml_roads on facebook.com, which is the endpoint from which we serve both the satellite imagery and the ML roads data for RapiD." Reference convo in SlackUS
From @ralleon
One particular Extension on Chrome Browser observed to cause the problem is "Video Downloader PLUS". Just remove or disable this Extension.
For this particular Siquijor project, I can't see any AI-assist purple lines in RapiD on my Chrome or Firefox browsers, even with Ad Blocker & Video Downloader removed.
Disabling Video Downloader used to work in the last experiment in another project. But now...
Chrome: Ad Blocker & Video Downloader removed. All remaining extensions Disabled.
Same particular task from @maning
For this particular Siquijor project, I can't see any AI-assist purple lines in RapiD on my Chrome or Firefox browsers, even with Ad Blocker & Video Downloader removed.
Disabling Video Downloader used to work in the last experiment in another project. But now...
Chrome: Ad Blocker & Video Downloader removed. All remaining extensions Disabled.
Same particular task from @maning
Could you post the task id/url?
Panning around the previously validated areas (without any assistance from AI), I saw a good number of what looked like false positive & false negative road edits and validations.
Example of validated task (note the curved road in the center):
Note the blue arrows: those were either 'rural' footways, alleys or driveways, yet were not mapped; but was reviewed as ok by the validator. Or they may have been presumed as not part of objectives of the task.
Another example of validated task: (a case of 'possible but not probable') An unclassified road was mapped under tree cover. Opinion: both the mapper and the validator failed to notice the presence of tree lines (shown by multiple purple arrows) which may indicate a fence or a private property line. I can't find substantial gap on the tree line (or on the green plants after the tree line). So it's not logical to gamble and assume that an automobile can pass there. This indicates that our validator was in a hurry (or had no idea about what to look for). Approx location: 9.1313207, 123.6301104
Another validated task: Validator was not very particular on improving both road geometries and alignments (because it's not part of the goal of task?). Opinion: A traced path that has consistent offset, yet following the shape of the road on imagery is normal (especially from old edits). But for a validator not being able to notice and correct those 10 meters off-center portions shows: (1) he/she was in a hurry at the expense of quality validation, (2) needs to improve sensitivity to details/context, (2) learn how to use the map scale bar. 10 meters off is huge! you can fall off a cliff with that. :-) Again, in a hurry, the validator missed what looked like a junction near school that leads to an alley/unpaved road. (Not sure if this alley was tagged by AI - not showing in my browser). Tip: majority of public school compounds (by observation) have some sort of wide frontage (to an access road). So it's fair to guess that that alley is the supposed missing frontage (considering the weird angle of school ground and the general orientation of its buildings). Approx location: 9.1495019, 123.6351008
Great observations @ralleon! Keep em coming!
You don't see the detection (purple line) anymore because I mapped it altready.
Last weekend, I ran JOSM validators for all the road data in Siquijor. There are several issues in the data (changeset):
primary
where it should be a lower class road. In some cases, there is inconsistent tag on long segments (+--track--+--secondary--+--track--+
). This is common on edges of the task.Most of these issues can be flagged by the built-in validator. We should remind new mappers to not ignore the validator messages before uploading.
Partial status as of 2019-09-23:
overlapping roads - this is likely a road detection on roads that were already mapped.
Correction, iD/RapiD do not have an overlapping road validator yet.
All pending road mapping tasks for SIG is complete. Efforts should now be directed to validation.
When validating tasks using RapiD, set the following to the issues panel:
This will catch all possible errors in the area your are validating.
Mapping and validation completed. 💥
Next actions
Siquijor Island, OpenStreetMap Cyclemap Style
Using AI-based detected roads, the goal of this project is to improve road coverage for the whole island of Siquijor.
We will use this ticket to coordinate mapping efforts. If you have questions, please comment on this ticket.
To contribute:
Changeset comment (OSMCha):
Mapping roads in Siquijor, PH. https://github.com/OSMPH/Tabang-AI/issues/10 #osmph #tabangAI
Partner organization: Local government of Lazi, Siquijor through @kinleah
Daghang salamat!
cc @kinleah @govvin @seav