Sometimes the quality score assigned is not what I’d expect - will list examples in this thread.
Mapillary - while not a bad image, the right hand side is a bit blurry. I would not have expected a score of 5.
Thanks for making a note of this @Richlv! If you can list many examples it should be helpful for our review.
Thanks, couldn’t figure out the best place to list those before and did not make notes - but will add any I spot here from now on.
Is it possible to pay someone for that work ?
Examples are very easy to find.
Mapillary - would score higher than 3
Mapillary - would score higher than 2
Mapillary - would score higher than 2
Same with many (most) other pictures in the sequences in this area/time.
Contrast the images above with Mapillary - I’d even mark this one as 4 instead of 5.
Mapillary seems similar, but with a lot of hood in the pic - but even that one got 4.
There’s some useful building detail, but in general I’d probably score this one at 3, given how much the bus is obscuring 
Would appreciate if the quality slider were two-sided, so that one can exclude good quality pics, see where the lower quality sequences are, then include those in a journey.
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That would include areas where there are both good and bad quality pics, though.
Wouldn’t just excluding low quality pics identify blank areas?
A little bit of dashboard is too severely punished. The tilt of my camera is very sensitive. I aimed at having a little bit of dashboard to be sure that I don’t picture too much sky.
Too much sky on the other hand is not punished at all.
Pictures with a smartphone from a car regularly obtain a 5/5.
Nevertheless it is often not possible to read small not blurred text in those pictures.
Snow cover or falling snow?
I guess I’m not that much concerned about the quality rating, except to get better results from filters
Falling rain/snow make some detail in the image harder to see, so it makes sense to drop quality score a bit - if rain/snow can be detected, it already is lowering the clarity enough.
Snow cover is a bit more complicated. On one hand, it does hide detail/features. On the other, you already mentioned regions where snow cover is there for most/all of the year. And in other regions, it can be very useful to see what a place looks like with snow. Unless/until Mapillary decides to publish the detail and reasoning, it’s all just guesses.
Would definitely rate higher than 2. I’d put 4 on this one.
So they might indeed punish snow cover. That would be sad.
Really, Mapillary algorithm, 1?
I’d go with 4.
Mapillary - definitely higher than 2, at least 3, maybe 4.
Same day. Same time (lighting). Same camera. Same speed.
Just the opposite direction.
Mapillary - 5
Mapillary - 3
OK, if this gets quality score 1, I think that’s enough feedback in this thread - closing the topic
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This is helpful. Thanks for collating these examples!