AVA: A Finely Labeled Video Dataset for Human Action Understanding

AVA: A Finely Labeled Video Dataset for Human Action Understanding(research.googleblog.com)

44 points by hurrycane 8 years ago | 6 comments

SloopJon 8 years ago |

From the download page:

> The AVA dataset contains 192 videos split into 154 training and 38 test videos. Each video has 15 minutes annotated in 3 second intervals, resulting in 300 annotated segments.

So basically this is a couple of CSV files annotating 192 videos, which are hosted on YouTube. ava_train_v1.0.csv is about 7 MB.

tzm 8 years ago | |

> basically this is a couple of..

I would prefer accuracy over complexity any day.

lifeisstillgood 8 years ago |

the most interesting thing i found was "We use movies as the source of AVA".

while the datasets will only grow, movies are not realistic - they are by design faked, acted, well lit etc. While that is probably the best thing to do with a starting set i am waiting for the CNN/RNN to start saying (much like the early black female standford researcher who was not identified as human face) that person is not walking - i know walking, it's just like John Cleese.

chimtim 8 years ago | |

this is what makes this dataset poor. other datasets mentioned in the blog are based off youtube which is more realistic. movie based datasets have perfect lighting, center the subject are almost never useful (e.g. HMDB)

yodon 8 years ago | | |

YouTube/Flickr/etc are far from ideal data sources. Do dogs drive cars? Flickr has tons of photos of dogs driving cars, eating ice cream, and doing tons of other rare-for-dogs things. Ultimately whatever the raw data source is what matters is how well is it curated, and that’s always going to be a highly labor intensive job that can be done well or poorly regardless of the source of the images being curated.