nearly 270k segmented people and a total of 886k segmented object instances in the 2014 train+val data alone. The cumulative 2015 release will contain a total of 165,482 train, 81,208 val, and 81,434 test images. We took care to minimize the chance of near-duplicate images existing across splits by explicitly removing near duplicates (detected with [@douze2009evaluation]) and grouping images by photographer and date taken.

Following established protocol, annotations for train and validation data will be released, but not for test. We are currently finalizing the evaluation server for automatic evaluation on the test set. A full discussion of evaluation metrics will be added once the evaluation server is complete.

Note that we have limited the 2014 release to a subset of 80 categories. We did not collect segmentations for the following 11 categories: hat, shoe, eyeglasses (too many instances), mirror, window, door, street sign (ambiguous and difficult to label), plate, desk (due to confusion with bowl and dining table, respectively) and blender, hair brush (too few instances). We may add segmentations for some of these categories in the cumulative 2015 release.

![image](figs/fantastic_fig){width="\textwidth"}

Algorithmic Analysis
====================

[**Bounding-box detection** ]{} For the following experiments we take a subset of 55,000 images from 