Genre classification

The Free Music Archive (FMA) is a large-scale dataset for evaluating several tasks in Music Information Retrieval. It consists of 343 days of audio from 106,574 tracks from 16,341 artists and 14,854 albums, arranged in a hierarchical taxonomy of 161 genres. It provides full-length and high-quality audio, pre-computed features, together with track- and user-level metadata, tags, and free-form text such as biographies. There are four subsets defined by the authors: * Full: the complete dataset, * Large: the full dataset with audio limited to 30 seconds clips extracted from the middle of the tracks (or entire track if shorter than 30 seconds), * Medium: a selection of 25,000 30s clips having a single root genre, * Small: a balanced subset containing 8,000 30s clips with 1,000 clips per one of 8 root genres. The official split into training, validation and test sets (80/10/10) uses stratified sampling to preserve the percentage of tracks per genre. Songs of the same artists are part of one set only. Source: FMA: A Dataset For Music Analysis Audio Source: https://github.com/mdeff/fma

A new challenging dataset that can be used for many pattern recognition tasks. Source: Judging a Book By its Cover

Moviescope is a large-scale dataset of 5,000 movies with corresponding video trailers, posters, plots and metadata. Moviescope is based on the IMDB 5000 dataset consisting of 5.043 movie records. It is augmented by crawling video trailers associated with each movie from YouTube and text plots from Wikipedia. Source: Moviescope: Large-scale Analysis of Movies using Multiple Modalities

MuMu is a new dataset of more than 31k albums classified into 250 genre classes. Source: Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features

PTVD is a plot-oriented multimodal dataset in the TV domain. It is also the first non-English dataset of its kind. Additionally, PTVD contains more than 26 million bullet screen comments (BSCs), powering large-scale pre-training.

Trailers12k is a movie trailer dataset comprised of 12,000 titles associated to ten genres. It distinguishes from other datasets by its collection procedure aimed at providing a high-quality publicly available dataset.