How to find out bad images? I have a task to find out bad visuals from given video.
Let's define bad images in the video as per the human brain -:

Images which don't contain subject in detail, 
are too noisy or too many ads and subscription 
letter or underexposed 
or overexposed could be called as bad images. 
The possibilities of bad images could be greater than this, but this 
is just getting started.


Dataset is [collection of videos]
labels is [good:0,bad:1]
Do you have some sort of a dataset where you have labels of images with good visuals and bad visuals?
Without it, the definition of finding bad visuals seems under-defined to me.

Tracing ads/subscriptions could probably be done by using Hough transform (I think that all of them have rectangular bounding boxes).
Overexposed images can found by comparing the image brightness histogram with some threshold value.
"Images which don't contain subject in detail" - you need to use some detection model for this.