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Hello ,
I would like to train YoloR for custom object detection, with negative samples (Images with no objects and the corresponding text file will be empty).
Is this approach followed in YoloR or is it a good idea to do so, because, the other YOLO versions supports this learns well and decreases the FP from these negative samples.
And , if its possible, what all I have to do, keeping the data already ready with positive and negative samples. ?
The code throws the assertion error, when the input image has no labels text file. Any changes need to be done ?
Regards
The text was updated successfully, but these errors were encountered:
SanKumSan
changed the title
Custom Training with negative samples, possible ?
Custom Training with negative samples, possible with YOLOR?
Jun 22, 2022
Hello ,
I would like to train YoloR for custom object detection, with negative samples (Images with no objects and the corresponding text file will be empty).
Regards
The text was updated successfully, but these errors were encountered: