We are sharing our results with Saijin_Naib via DropBox for his review 
Sand Key is a cool data set!
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Still up for grab: Sand Key processed on Metashape! 
For tracking the settings used, we should pay attention to how low, medium, high are used WRT settings, e.g.:
https://github.com/OpenDroneMap/ODM/issues/983#issuecomment-496269113
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@Saijin_Naib is Sand Key processed yet? I can’t seem to find the outputs in the OneDrive folder.
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@pierotofy, not by myself. @dronemapper-io has had success with it, and gave me a brief overview of the settings/workflow needed to get the dataset to stitch, but I’ve not had success with it yet using Strait-Out-Of-The-Box settings, nor my “beginner” tweaks to the settings profile.
I will be incorporating the results from @dronemapper-io into my OneDrive repository into a separate directory as another datapoint, and that dataset is complete with regards to Sand Key.
I will re-attempt Sand Key again with my current settings profile as well.
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The colorized DEM’s from DroneDeploy were taken through Photoshop and converted to Grayscale. First time using this conversion, but it’s supposed to be accurate. The same Dropbox link as in message #17 above now includes these grayscale DEM’s for all 3 datasets: Dropbox - File Deleted - Simplify your life
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@dronemapper-io’s contributions have been merged into my OneDrive link. I’m still processing Sand Key.
This is making me want to replace my i7-6700k 
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I processed Sand Key twice on odm and metashape the other day, but the projections wouldn’t line up on both attempts when viewing in QGIS. Even confirmed the right projection of the odm ortho file using gdalinfo and made sure the metashape file was processed and exporting as that type… still no luck.
I’ll gladly upload it for anyone to look at but, but as it is, it’s not a worthy compare =/
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3 projects processed with Drone2Map
https://drive.google.com/open?id=1guW-pnC5Lpe97qXlBgEs7JbKjhe827uG
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Latest MicMac via NodeMicMac:
aukerman and brighton_beach
https://drive.google.com/open?id=1aH-HCWXuawklnXDAzVCBD-6fOmjnUIWO
For some odd reason I cant still process sand_key.
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sorry if I missed it, but is the comparison tool/UI up and online?
Yes! The participation for this challenge was overwhelmingly positive. Thank you all for the help. 
The UAV Arena is now online: UAV Mapping Arena
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I can not get Sand Key to successfully process on my machine. @pierotofy, I think we can count my set as complete for now, as we at least have a result for DroneMapper via @dronemapper-io’s contribution for Sand Key.
Tried out the UAVArena, freaking awesome! Love it. Left you a GitHub issue already 
Also, I have two tricky datasets from my Solo that bowl/cup even in Pix4D with rolling shutter compensation, so if you want them as a “tough” sample set, let me know. I’d love to see what people can get out of them in the various suites.
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UAV Arena is awesome!
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A link to download DM processed data directly: Dropbox - File Deleted - Simplify your life
Some slight differences used in processing such as ortho seamline feathering, new DEM algo, etc. Enjoy
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If anyone wants to, feel free to take a look and tell me what’s gone wrong with with Sand Key -
https://drive.google.com/open?id=1ux3MKOrZjAyi2PJivK2m2vRK0k6_Q4JR
The projections don’t line up, even though they should both be ESPG 32617
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UAV Arena is SUPER awesome! Well done!
How hard would it be for a zero experience HTML person (me) to recycle the code with different geotiff or DSM information? Think same site with DSM on one side of slider and Orthophoto on the other? Or even same site with different capture dates? All selectable to the user’s preference? (I know QGIS has a slider feature plugin)
Miner_jeff
Keep up the good work here folks!
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Here is my repository for sample sUAS data from my 3DR Solo with full-spectrum GoPro Hero4 Black:
These two have proven tough to reconstruct without bowling in the past. Take a swing at them if you dare
That comparison tool is addictive! The first thing that comes to my mind when running it is whether some of the differences are due to the settings that were chosen in running the apps, or due to differences in the math used in the pipeline steps. Then I wonder which is “right”, then how would I recognize “right” if I saw it? Too tough to ponder…
Then I want to know how to do this with my own data over different times! AAaaaggghhhh.
To try to stay at least a little on topic, are there ligit conclusions that should be drawn from this incredible body of work that will be consistent when considering one tool over another?
Apologies to OP if this is straying off topic.
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