# Moments in Time Challenge 2018

The Moments in Time Recognition Challenge at CVPR'18 was jointly held with the ActivityNet Challenge 2018. The goal of this challenge was to identify the event labels depicted in a 3 second video. The video data came from the Moments in Time dataset, which could be downloaded here.

##### Full Track

A classification task on the entire Moments in Time dataset:

• 339 classes
• 802,264 training videos
• 33,900 validation videos
• 67,800 testing videos
##### Mini Track

A classification task for students on a subset of Moments in Time dataset:

• 200 classes
• 100,000 training videos
• 10,000 validation videos
• 20,000 testing videos

### Important Dates:

• March 1, 2018: Training data and development kit with evaluation scripts made available.
• April 1, 2018: Testing videos are released.
• June 8, 2018: Submission deadline.
• June 16, 2018: Challenge results released. The result is available.
• June 22, 2018: Winner(s) are invited to present at the Workshop.

### Evaluation Metric

We will use top-k accuracy on the testing set as the official metrics for this task. For each video, an algorithm will produce $k$ labels $l_{j}$, $j = 1,..,k$. The ground truth label for the video is $g$. The error of the algorithm for that video would be: $$e = \min_{j} d(l_{j}, g),$$ with $d(x,y) = 0$ if $x=y$ and $1$ otherwise. The overall error score for an algorithm is the average error over all videos. We will use $k=1$ and $k=5$ and the winner of the challenge will be selected based on the average of these two errors.

### Submission Format

When submitting your results for the challenge, please provide a plain text file containing one video prediction per line. Each line should contain the video filename followed by up to 5 detected class labels, sorted by confidence in descending order:

<filename> <class(1)> <class(2)> <class(3)> <class(4)> <class(5)>