Published May 17, 2021 | Version v1
Dataset Open

Lakh pianoroll images 128x128 with genre

Authors/Creators

  • 1. Pontificia Universidad Católica de Chile

Description

Pianoroll images of size 128x128 extracted from Lakh Pianoroll Dataset organized by instrument and genre labels from the Million Song Dataset Allmusic Top Genre Dataset (Top-MAGD)

Files structure:

lakh_imgs_128x128

+-- bass

|        +-- Blues

|        +-- Country

|        +-- Electronic

|        +-- Folk

|        +-- International

|        +-- Jazz

|        +-- Latin

|        +-- New-Age

|        +-- Rap

|        +-- Reggae

|        +-- RnB

|        +-- Rock

|        +-- Vocal

+-- drums

|        +-- Blues

|        +-- Country

|        +-- Electronic

|        +-- Folk

|        +-- International

|        +-- Jazz

|        +-- Latin

|        +-- New-Age

|        +-- Rap

|        +-- Reggae

|        +-- RnB

|        +-- Rock

|        +-- Vocal

+-- guitar

|        +-- Blues

|        +-- Country

|        +-- Electronic

|        +-- Folk

|        +-- International

|        +-- Jazz

|        +-- Latin

|        +-- New-Age

|        +-- Rap

|        +-- Reggae

|        +-- RnB

|        +-- Rock

|        +-- Vocal

+-- piano

|        +-- Blues

|        +-- Country

|        +-- Electronic

|        +-- Folk

|        +-- International

|        +-- Jazz

|        +-- Latin

|        +-- New-Age

|        +-- Rap

|        +-- Reggae

|        +-- RnB

|        +-- Rock

|        +-- Vocal

+-- strings

|        +-- Blues

|        +-- Country

|        +-- Electronic

|        +-- Folk

|        +-- International

|        +-- Jazz

|        +-- Latin

|        +-- New-Age

|        +-- Rap

|        +-- Reggae

|        +-- RnB

|        +-- Rock

|        +-- Vocal

Files

Files (408.8 MB)

Name Size Download all
md5:a8e17c5cdc0e67344cfaacdd2531e25d
408.8 MB Download

Additional details

References

  • Colin Raffel. "Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching". PhD Thesis, 2016.
  • Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, and Yi-Hsuan Yang, "MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment," in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
  • Thierry Bertin-Mahieux, Daniel P. W. Ellis, Brian Whitman, and Paul Lamere. "The Million Song Dataset". In Proceedings of the 12th International Society for Music Information Retrieval Conference, pages 591–596, 2011.