TikTok dataset
Creators:
Kaggle
Publication Date:
2021
Data Category:
Dataset Description:
The dataset contains data related to TikTok content, including video statistics such as likes, shares, and views, useful for understanding user engagement. It comprises 300 dance videos sourced from the TikTok mobile social networking application. This dataset is particularly valuable for research in computer vision, human pose estimation, and motion analysis, as it provides real-world examples of human dance movements captured in diverse settings. The dataset is available in CSV format and has a total size of approximately 1.4 GB. Each of the 300 videos serves as an individual observation, offering a substantial collection for analysis. Structurally, the dataset consists of video files accompanied by a CSV file containing metadata for each video. The metadata includes information such as video ID, duration, and possibly other attributes relevant to the content. This structure facilitates various analyses, including temporal segmentation, motion tracking, and pattern recognition within the dance sequences. This dataset provides a rich resource for developing and testing algorithms in areas like action recognition, pose estimation, and dance movement analysis, contributing to advancements in computer vision and machine learning applications related to human motion.
Variables:
Details: