ITTV - A Dataset of Italian Television for Automatic Genre Classification

ITTV is a publicly available dataset of Italian TV programs introduced in 

Alessandro Ilic Mezza, Paolo Sani, and Augusto Sarti, "Automatic TV Genre Classification Based on Visually-Conditioned Deep Audio Features," in 2023 31st European Signal Processing Conference (EUSIPCO), 2023.

ITTV consists of 2625 manually annotated YouTube videos, totaling over 670 hours. Each clip is assigned one of seven classes:

Cartoons

Commercials

Football

Music

News

Talk Shows

Weather Forecast

ITTV genre taxonomy is similar to that of the well-known RAI dataset described in

Maurizio Montagnuolo and Alberto Messina, "Parallel neural networks for multimodal video genre classification,” Multimedia Tools and Applications, vol. 41, no. 1, pp. 125–159, 2009.

The dataset contains genre annotations and metadata in CSV format. Please note that audio data is not provided.

We provide the annotations for a balanced training (1575 clips) and validation (525 clips) split, as well as for a disjoint test set containing 525 installments from TV programs not included in the development set.

As YouTube continuously updates, some videos may not be available in the future. Although we intend to keep ITTV updated as best as possible, please note that some content may not be available at any given time.

Some YouTube videos (especially from the Football class and, to a lesser extent, the Cartoons class) may only be available in some countries due to regional restrictions imposed by the content creator. All videos are known to be accessible from Italy (last accessed on Nov. 25th, 2022.)

Please contact Alessandro Ilic Mezza for further questions (e-mail: [e-mail]).