YouTrained

Channels

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

  1. 19301 Lichtx 4 videos
  2. 19302 LickNRiff 4 videos
  3. 19303 Liebherr 4 videos
  4. 19304 LifeChangingDubstep 4 videos
  5. 19305 Lifeforce Ecology 4 videos
  6. 19306 Lifetime 4 videos
  7. 19307 Lifetree Kids 4 videos
  8. 19308 Lifia Niala 4 videos
  9. 19309 LikeThisRLYMatters 4 videos
  10. 19310 Likhith Kurba 4 videos
  11. 19311 Lil' Boy 4 videos
  12. 19312 Lila2339 4 videos
  13. 19313 LilaSakura 4 videos
  14. 19314 Lilias Luz 4 videos
  15. 19315 Lilith89ibz 4 videos
  16. 19316 Lillebælt Halvmarathon (Lillebælt i løb) 4 videos
  17. 19317 Lilly Holden 4 videos
  18. 19318 Limeaway 4 videos
  19. 19319 Limiar Home Studio 4 videos
  20. 19320 Limu013 4 videos
  21. 19321 Lin Kerns 4 videos
  22. 19322 LincolnOwner 4 videos
  23. 19323 LindoroRossini 4 videos
  24. 19324 Lindsay Leigh 4 videos
  25. 19325 Linguistix Pronunciation 4 videos
  26. 19326 LinkWebServices 4 videos
  27. 19327 Linksland 4 videos
  28. 19328 Linsey Pollak 4 videos
  29. 19329 Lion Country Supply 4 videos
  30. 19330 Lionel Yu "MusicalBasics" 4 videos
  31. 19331 Liquid Charlie 4 videos
  32. 19332 Liquid Fire Sound 4 videos
  33. 19333 Liquid Glass Shield 4 videos
  34. 19334 Liquid Oxygen Studios 4 videos
  35. 19335 Liquitex Official 4 videos
  36. 19336 Lisa McCormick 4 videos
  37. 19337 Lisa Palumbo 4 videos
  38. 19338 Lish Lindsey 4 videos
  39. 19339 Little Elephant 4 videos
  40. 19340 Little Lion Sound 4 videos
  41. 19341 Little Videos, 2009-2012 4 videos
  42. 19342 LittleBigWorld 4 videos
  43. 19343 LittleJayneyCakes 4 videos
  44. 19344 LittleMissEMOtional 4 videos
  45. 19345 LittleRocknRoller 4 videos
  46. 19346 Live from AURA Studios 4 videos
  47. 19347 LiveinHiDef 4 videos
  48. 19348 Livepower 4 videos
  49. 19349 Livernois Motorsports & Engineering 4 videos
  50. 19350 LivingSoundsCompany 4 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.