YouTrained

Artists

Artists whose YouTube Music catalogues are listed in LAION-DISCO-12M, ranked by number of songs. 560,582 artists.

  1. 23351 Novillos de la Sierra 147 songs
  2. 23352 Nurit Galron 147 songs
  3. 23353 O-Shen 147 songs
  4. 23354 O.S. Arun 147 songs
  5. 23355 Oasis 147 songs
  6. 23356 Ofra Harnoy 147 songs
  7. 23357 Oliver Francis 147 songs
  8. 23358 Omarion 147 songs
  9. 23359 OmenXIII 147 songs
  10. 23360 Oravla Ziur 147 songs
  11. 23361 Orchestre de Chambre National de Toulouse 147 songs
  12. 23362 Orfeas Peridis feat. Melina Kana 147 songs
  13. 23363 Orietta Berti 147 songs
  14. 23364 Orquesta Bebo Valdés 147 songs
  15. 23365 Orquesta De Enrique Jorrín 147 songs
  16. 23366 Oscar Ovidio 147 songs
  17. 23367 Outbreakband 147 songs
  18. 23368 Oystein Sevâg 147 songs
  19. 23369 Oğuz Aksaç 147 songs
  20. 23370 PARMINDER SANDHU 147 songs
  21. 23371 PH Paulo Henrique 147 songs
  22. 23372 PUSHIM 147 songs
  23. 23373 Pablo Arellano 147 songs
  24. 23374 Pacman Da Gunman 147 songs
  25. 23375 Paffendorf 147 songs
  26. 23376 Pal Joey 147 songs
  27. 23377 Pandora 147 songs
  28. 23378 Pandora 147 songs
  29. 23379 Papazoni 147 songs
  30. 23380 ParadymCoast 147 songs
  31. 23381 Parchis 147 songs
  32. 23382 Park Sang Min 147 songs
  33. 23383 Parokya Ni Edgar 147 songs
  34. 23384 Parthiv Gohil 147 songs
  35. 23385 Parvesh Sharma 147 songs
  36. 23386 Patrick Feeney 147 songs
  37. 23387 Patty Pravo 147 songs
  38. 23388 Paul Gilbert 147 songs
  39. 23389 Paul Payne837 147 songs
  40. 23390 Paul Petersen 147 songs
  41. 23391 Payal Dev 147 songs
  42. 23392 Penny Tai 147 songs
  43. 23393 Perfect Stranger 147 songs
  44. 23394 Peter Green 147 songs
  45. 23395 Peter Pann 147 songs
  46. 23396 Peyton Parrish 147 songs
  47. 23397 Pharozen 147 songs
  48. 23398 Phil Ochs 147 songs
  49. 23399 Philharmonic Festival Orchestra 147 songs
  50. 23400 Phillip Boa And The Voodooclub 147 songs

These pages report where identifiers from public research datasets point. Presence in a dataset is a fact about the dataset, not a claim about the channel or artist, and says nothing about what any company did with the material.