January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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YouTube-8M
The YouTube-8M dataset is for video classification problems. The dataset contains video URLs with labels and visual features. Here are a few statistics about the dataset:
- Number of video URLs: 7 million
- Hours of video clips: 450,000
- Number of class labels: 4,716
- Average number of labels per video: 3.4
Here is the summary of the dataset, across various genres:
Source: https://research.google.com/youtube8m/vertical-videos.png
The preceding image can give a glimpse of the type of labels available in the dataset. The video data is large and hence visual features are computed and provided with the dataset. The dataset can be accessed ...
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