# Computer Vision Competition [SC-2020] — Data

来源：https://www.kaggle.com/competitions/computervisioncompetitionsc2020/data

采集时间：2026-10-22T09:25:49Z

Dataset description
UCF is an action recognition data set of realistic action videos, collected from YouTube. The dataset contains 5 categories (Basketball, Diving, Jumping, Tennis, and Walking). The training set contains 5 folders, around 100 video for each vategory. The testing set contains 126 vidoos. The goal is to build a model than can recognize the cateogry of each video in the testing set.
Files description
train.rar
- https://drive.google.com/file/d/1fu93ErsAOzDf9kK2ws4I2ILcMYr2SZbF/view?usp=sharing
test.rar
- https://drive.google.com/file/d/1tfcRgZrMp8cVJeH-YY2YO0RJEe9dKMVy/view?usp=sharing
submit.csv
- a sample submission file in the correct format
names.csv
this file contains the IDs of the five categories
Data fields
Video
- the name of video
Label
- the predicted label