YouTrained

Artists

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

  1. 32751 Soft Kill 132 songs
  2. 32752 Sonido Caracol 132 songs
  3. 32753 Sonny Flame 132 songs
  4. 32754 Sreeram 132 songs
  5. 32755 Stan Forebee 132 songs
  6. 32756 Stanisław Soyka 132 songs
  7. 32757 Stanley Holloway 132 songs
  8. 32758 Stash House Beats 132 songs
  9. 32759 Stefano Grondona 132 songs
  10. 32760 Steve Slagle 132 songs
  11. 32761 Steves J. Bryan 132 songs
  12. 32762 Suhana Devi 132 songs
  13. 32763 TOKU 132 songs
  14. 32764 Takako Okamura 132 songs
  15. 32765 Tankeone 132 songs
  16. 32766 Teknova 132 songs
  17. 32767 The (John) Candy 132 songs
  18. 32768 The Band of the Brigade of Gurkhas 132 songs
  19. 32769 The Boston Camerata 132 songs
  20. 32770 The Easybeats 132 songs
  21. 32771 The Novembers 132 songs
  22. 32772 The One 132 songs
  23. 32773 The Presets 132 songs
  24. 32774 The Roaring Twenties 132 songs
  25. 32775 The Royal Choral Society 132 songs
  26. 32776 The War Within 132 songs
  27. 32777 Tim 132 songs
  28. 32778 Tom Boxer 132 songs
  29. 32779 Tom Robinson 132 songs
  30. 32780 Tomoyuki Nagasawa 132 songs
  31. 32781 Torali Sarma 132 songs
  32. 32782 Trans-Siberian Orchestra 132 songs
  33. 32783 TrapMusicHDTV 132 songs
  34. 32784 Troy Kingi 132 songs
  35. 32785 Turf 132 songs
  36. 32786 Two:22 132 songs
  37. 32787 Tài Linh 132 songs
  38. 32788 Tünzalə 132 songs
  39. 32789 UMO Jazz Orchestra 132 songs
  40. 32790 UNIVERSITY OF JOHANNESBURG CHOIR 132 songs
  41. 32791 Vagn og Vagabonderne 132 songs
  42. 32792 Valentino Bravo 132 songs
  43. 32793 Valerio Scanu 132 songs
  44. 32794 Valery Lloyd-Watts 132 songs
  45. 32795 Velmurugan 132 songs
  46. 32796 Vieno Kekkonen 132 songs
  47. 32797 Vincent Malone 132 songs
  48. 32798 Vintage & Morelli 132 songs
  49. 32799 Vitthal Kamble 132 songs
  50. 32800 Wall Matthews 132 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.