# Computer Vision Competition [SC-2020] — Data

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

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<h1> Dataset description </h1>
<p>
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.
<h2>Files description</h2>
<ul>
<li> train.rar</strong> - https://drive.google.com/file/d/1fu93ErsAOzDf9kK2ws4I2ILcMYr2SZbF/view?usp=sharing</li>
<li><strong>test.rar</strong> - https://drive.google.com/file/d/1tfcRgZrMp8cVJeH-YY2YO0RJEe9dKMVy/view?usp=sharing</li>
<li><strong>submit.csv</strong> - a sample submission file in the correct format</li>
<li><strong>names.csv</strong> this file contains the IDs of the five categories</li>
</ul>
<h2>Data fields</h2>
<ul>
<li><strong>Video</strong> - the name of video </li>
<li><strong>Label</strong> - the predicted label</li>
</ul>