Category Distribution of Annotations
We compute the percentage of object instances in each category (and COCO super-categories).
To display different number of categories in the same plot, we compute the accumulated frequency of all sorted categories so that
all plots go from 0 to 100%. Put the mouse on the plot points to see the name of the category that represents and its frequency.
We also show the global sizes of the databases in a table.
|
#Categories |
#Images |
#Instances |
| Pascal |
20 |
2913 |
6934 |
| Train+Val |
|
1464+1449 |
3507+3427 |
| SBD |
20 |
11355 |
26843 |
| Train+Val |
|
8498+2587 |
20172+6671 |
| COCO |
80 |
123287 |
886284 |
| Train+Val |
|
82783+40504 |
597869+288415 |
In the three databases,
person is by far the most common category (around 25-30%).
In COCO, this is especially exaggerated, being the second category at 5%, 59 categories having less than 1% of the objects,
and 20 less than 0.5%.
Pascal and SBD categories, and especially super-categories in COCO, are more balanced.
Discussion
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