2015 Looking At People CVPR Challenge - Track 2: Cultural Event Recognition

Track description

Track stages:

• Development phase: Create a learning system capable of learning from several training annotated images a cultural event classification problem. Practice with development data (a large database of 5,875 manually labelled frames is available) and submit predictions on-line on validation data (2,332 labelled frames) to get immediate feed-back on the leaderboard. Recommended: towards the end of the development phase, submit your code for verification purpose. 


• Final evaluation phase: Make predictions on the new final evaluation data (3,569 frames) revealed at the end of the development phase. The participants will have few days to train their systems and upload their predictions.

We highly recommend that the participants take advantage of this opportunity and upload regularly updated versions of their code during the development period. Their last code submission before deadline will be used for the verification. 

The Cultural Event Recognition dataset consists of images collected from two images search engines (Google Images and Bing Images). For this particular track, we chose 50 important cultural events in the world. In all the image categories, garments, human poses, objects and context do constitute the possible cues to be exploited for recognizing the events, while preserving the inherent inter- and intra-class variability of this type of images. 

Jordi Gonzàlez, Júnior J. Fabian and Josep M. Gonfaus gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for creating the baseline of this Track.

Both competition server and the resources for participating in this Track can be found here: https://www.codalab.org/competitions/2611

For this track, the 50 cultural events that have been selected are: