There are many available datasets that we can use in the training process, as follows:
- UCF101 (http://crcv.ucf.edu/data/UCF101.php) is an action recognition dataset of realistic action videos with 101 action categories. There are 13,320 videos in total for the 101 action categories, which makes this dataset a great choice for many research papers.
- ActivityNet (http://activity-net.org/) is a large-scale dataset for human activity understanding. There are 200 categories with over 648 hours of video. Each category has about 100 videos.
- Sports-1M (http://cs.stanford.edu/people/karpathy/deepvideo/) is another large-scale dataset for sports recognition. There are 1,133,158 videos in total, annotated with 487 sports labels.
In this chapter, ...