You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Why did the author choose n+1 labels instead of n labels?
In computer vision i understand that the model will be trained for n+1 classes (extra class is considered as background) but the no of labels will be only n. Is it the same criteria followed here or any other reason?
The text was updated successfully, but these errors were encountered:
Why did the author choose n+1 labels instead of n labels?
In computer vision i understand that the model will be trained for n+1 classes (extra class is considered as background) but the no of labels will be only n. Is it the same criteria followed here or any other reason?
The text was updated successfully, but these errors were encountered: