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(Planned schedule may be changed.)

  • Tue, Nov 26, 2024 12:00 to Fri, Dec 13, 2024 13:00: It will be stopped due to power equipment maintenance.

  • Sat, Dec 7, 2024 00:00 to 03:00:
    Up to two 15-minute communication outages will occur due to network line construction, which halted communication between ABCI and the outside world.

  • Tue, Dec 31, 2024:
    ABCI 2.0/bb will be terminated. If you have the necessary data, please migrate your data to another storage by yourself. For more information, please refer to here.

  • Sun, Mar 30, 2025 17:00:
    ABCI 2.0 Cloud Storage will be terminated. If you have data you need, please migrate your data to another storage by yourself. For more information, please refer to here.

Overview

AIST Dance Video Database (AIST Dance DB) is a shared database containing original street dance videos with copyright-cleared dance music. This is the first large-scale shared database focusing on street dances to promote academic research regarding Dance Information Processing. The AIST Dance DB will foster a variety of new tasks such as

  • Dance-motion genre classification
  • Dancer identification
  • Dance-technique estimation
This database features:

Multiple genres

(ten major dance genres)		 a

Multiple dancers

(solo and group dancing by 40 professional dancers)		 a

Multiple cameras

(at most nine video cameras surrounding a dancer)		 a

How to Get Started

Please read through the Terms of Use before you start using the database. The Terms of Use contains terms and conditions for using the database as well as disclaimers. The structure of the database is presented in detail at Database Structure.

There are several ways to download the database depending on your needs. You can download the full database (515 Gigabytes) from Getting the database. To download a subset of the database, you can choose the Filtered Search option. The musical pieces (original dance music) used in the database are also available at Get Only Music Data.

Along with the database, we have proposed a new task named dance-motion genre classification as a benchmark task. The subset data for this task is available at Tasks.

It is necessary to cite the following publication when you use AIST Dance DB.

Citation

Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki and Masataka Goto. AIST Dance Video Database: Multi-genre, Multi-dancer, and Multi-camera Database for Dance Information Processing. In Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019.

http://archives.ismir.net/ismir2019/paper/000060.pdf

@inproceedings{aist-dance-db,
           author = {Shuhei Tsuchida and Satoru Fukayama and Masahiro Hamasaki and Masataka Goto}, 
           title = {AIST Dance Video Database: Multi-genre, Multi-dancer, and Multi-camera Database for Dance Information Processing}, 
           booktitle = {Proceedings of the 20th International Society for Music Information Retrieval Conference, {ISMIR} 2019},
           address = {Delft, Netherlands}, 
           year = 2019, 
           month = nov }

Acknowledgments

AIST Dance DB was supported in part by JST ACCEL Grant Number JPMJAC1602, Japan. ANOMALY INC. was in charge of music production and dance performance recording. Takahiro Inoue manages the database server. Fabrizio Pedersoli and Hirohito Tanaka helped to prepare the refined videos in the database. The logo was designed by Misato Nakamura.