YouTrained

Channels

YouTube channels ranked by how many of their videos appear in AudioSet and MusicCaps. 611,714 channels.

  1. 12551 FilthyDubstepMusic 5 videos
  2. 12552 Fin Raucous 5 videos
  3. 12553 FinCooper 5 videos
  4. 12554 Finansla Gelecek 5 videos
  5. 12555 FingerSkateSelective 5 videos
  6. 12556 Fiorella Qo 5 videos
  7. 12557 FirepowerRecs 5 videos
  8. 12558 FishermansHandbook 5 videos
  9. 12559 Fiskars 5 videos
  10. 12560 Fitness on the Run 5 videos
  11. 12561 FlashoverRecordings 5 videos
  12. 12562 FlatCap1961 5 videos
  13. 12563 Flemming Thorbye 5 videos
  14. 12564 Florida International University 5 videos
  15. 12565 Fluxson Music 5 videos
  16. 12566 Focusrite 5 videos
  17. 12567 FokkerBoombass 5 videos
  18. 12568 FoliesEspagne 5 videos
  19. 12569 Folklore Aymara 5 videos
  20. 12570 Foreign Sounds 5 videos
  21. 12571 Forged In Ulster 5 videos
  22. 12572 ForgotBoutThat 5 videos
  23. 12573 FowlTalkers 5 videos
  24. 12574 Fox Prince 5 videos
  25. 12575 Fr Greg Vega 5 videos
  26. 12576 FractionzHD Gow 5 videos
  27. 12577 Fragile Tone 5 videos
  28. 12578 Fralin Pickups 5 videos
  29. 12579 Fran Brea - Escuela MÁS QUE GUITARRA 5 videos
  30. 12580 France Sire 5 videos
  31. 12581 Francesco Gibaldi 5 videos
  32. 12582 Franco Bandera 5 videos
  33. 12583 Frank Fourrunners 5 videos
  34. 12584 Frank Hommel 5 videos
  35. 12585 Frank Lao 5 videos
  36. 12586 Frank Prenot 5 videos
  37. 12587 Frank Steffen Mueller 5 videos
  38. 12588 Franki Bio 5 videos
  39. 12589 Frantic Noise 5 videos
  40. 12590 Franz Böhm 5 videos
  41. 12591 FreakyForest 5 videos
  42. 12592 Fred Martin 5 videos
  43. 12593 Fred Viebahn 5 videos
  44. 12594 Freda Terry 5 videos
  45. 12595 FreddySlacks 5 videos
  46. 12596 Frederic Mauerhofer Composer 5 videos
  47. 12597 Frederick Harshbarger 5 videos
  48. 12598 Free Games Explorer 5 videos
  49. 12599 FreeProd2008 5 videos
  50. 12600 FreeSoundtrack 5 videos

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.