We will host Moments in Time Multimodal Multi-Label
Action Detection Challenge at ICCV'19
as part of the Workshop
on Multi-modal Video Analysis . The goal of this challenge is to detect the
event labels depicted in a 3 second video. The video data comes from the
Multi-Moments in Time dataset, which can be downloaded
here.
This is a new challenge on multi-label action detection in video.
For this, we expanded the Moments in Time dataset
to include multiple action labels
per video. Labels in the dataset can pertain to actions recognizable
using one or more of the audio/visual streams (i.e. audio actions,
visual actions, or audio-visual actions).
Moments is an ongoing research collaboration with the MIT-IBM Watson AI Lab.
The project is dedicated to building a large-scale dataset to help AI systems recognize and
understand actions and events in videos. The dataset includes more than one million three-second
videos and two million action labels.
Challenge Results Released
The challenge includes a single track:
A detection task on the entire Multi-Moments in Time dataset:
- 313 classes
- 2M training labels for 1M videos
- 10K validation videos
- 10K testing videos
Important Dates:
- July 5, 2019: Training data made available.
- August 1, 2019: Testing videos are released and submission site opened.
- October 19, 2019: Submission deadline.
- October 21, 2019: Challenge results announced.
- November 02, 2019: Winner(s) are invited to present at the Workshop.