YouTrained

Artists

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

  1. 1951 Kool Keith 189 songs
  2. 1952 Luanzinho do Recife 189 songs
  3. 1953 Luiz Gonzaga 189 songs
  4. 1954 Max Raabe 189 songs
  5. 1955 Mc Lv Da Zo 189 songs
  6. 1956 Mike Candys 189 songs
  7. 1957 Monir Khan 189 songs
  8. 1958 Mstislav Rostropovich 189 songs
  9. 1959 Pat Metheny Group 189 songs
  10. 1960 Philanthrope 189 songs
  11. 1961 Pra(Killa'Gramm) 189 songs
  12. 1962 RAF Camora 189 songs
  13. 1963 Renato Teixeira 189 songs
  14. 1964 Royal Scottish National Orchestra 189 songs
  15. 1965 Rubén Blades 189 songs
  16. 1966 Samuel Kim 189 songs
  17. 1967 Sir Roger Norrington 189 songs
  18. 1968 Sleep Music: Native American Flute 189 songs
  19. 1969 Sonam Yadav 189 songs
  20. 1970 Steve Jablonsky 189 songs
  21. 1971 Sting 189 songs
  22. 1972 Ten Typ Mes 189 songs
  23. 1973 Национальный заслуженный академический симфонический оркестр Украины 189 songs
  24. 1974 塞壬唱片-MSR 189 songs
  25. 1975 Alabanzas Cristianas 188 songs
  26. 1976 Albert Ammons 188 songs
  27. 1977 Anne-Sophie Mutter 188 songs
  28. 1978 Anuel AA 188 songs
  29. 1979 Baby Music Center 188 songs
  30. 1980 Bad Bunny 188 songs
  31. 1981 Balli Bhalpur 188 songs
  32. 1982 Benny Golson 188 songs
  33. 1983 Brad Mehldau 188 songs
  34. 1984 Christmas Cafe 188 songs
  35. 1985 Deepak Chopra 188 songs
  36. 1986 Doble Porcion 188 songs
  37. 1987 Don Omar 188 songs
  38. 1988 El Reino Infantil 188 songs
  39. 1989 El Taiger 188 songs
  40. 1990 Eric Bellinger 188 songs
  41. 1991 Felipe Peláez 188 songs
  42. 1992 Freddie Hubbard 188 songs
  43. 1993 Gene Ammons 188 songs
  44. 1994 Gerardo Morán 188 songs
  45. 1995 Instrumental Rap Hip Hop 188 songs
  46. 1996 John Debney 188 songs
  47. 1997 John Lenehan 188 songs
  48. 1998 Jordanaires 188 songs
  49. 1999 Joseph Trapanese 188 songs
  50. 2000 Kannur Sherif 188 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.