Class Balances about dataset

[rkrasin]

@andreasveit Andreas, can you please take a quick look?

[atqamar]

@rkrasin @andreasveit I'm getting similar results too. The histogram of labels does not match what is presented in the README.

[tiborr]

@rkrasin @andreasveit Same here.

[theostrauss]

@rkrasin @andreasveit

@atqamar @tiborr i am getting the same results. this is a little weird, don't you think? this is definitely slowing down my workflow and would love some confirmation asap.

[rkrasin]

According to this query in BigQuery, there's 2532 categories with at least 1000 images.

[rkrasin]

@theostrauss @tiborr @atqamar @wawamanhunt may I see your code that builds the histogram? I am pretty sure the histogram in README is close to truth based on the confirmation from BigQuery, but I also have no doubt that your results are also based on something. So, I want to reproduce your results to understand.

[rkrasin]

Actually, given the new update posted (https://research.googleblog.com/2017/07/an-update-to-open-images-now-with.html), all histograms need to be reevaluated. :)
TL,DR: more ground truth, and also with bounding boxes.

[nalldrin]

Sorry for not seeing this thread sooner. I wonder if the distribution from Andreas was for human annotations whereas you are looking at the machine annotations? 83M is from the machine annotations.