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
I plan to organize my data annotation pipeline in the following way:
use model predictions to pre-annotate my data
manually correct these annotations
Is there a way to keep 2 versions of annotations within single task? By comparing model predictions and manually corrected annotations it would be possible to:
validate model accuracy
calculate the price of annotator work
I tried to adapt Honeypot feature, but it doesn't suit this usecase, as it's impossible to create second job with 100% images.
The text was updated successfully, but these errors were encountered:
Do we have any reason to keep number of frames in GT job strictly less than in the main one?
I can't create GT job with 100% frames, but I can with 100% - 1 frame.
Do we have any reason to keep number of frames in GT job strictly less than in the main one?
I can't create GT job with 100% frames, but I can with 100% - 1 frame.
This problem is fixed in the PR #6367 (which we still need to merge).
I plan to organize my data annotation pipeline in the following way:
Is there a way to keep 2 versions of annotations within single task? By comparing model predictions and manually corrected annotations it would be possible to:
I tried to adapt Honeypot feature, but it doesn't suit this usecase, as it's impossible to create second job with 100% images.
The text was updated successfully, but these errors were encountered: