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https://pdfs.semanticscholar.org/a8ef/5a810099178b70d1490a4e6fc4426b642cde.pdf
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I am trying to fine-tune the model with yolo.weight.
If the data is imbalanced between the N classes like
number of class 1 data : 200,000 instances
number of class 2 data : 10,000 intances
..…
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### Contact Details
visheshkrsinghofficial@gmail.com
### What happened?
As of now, the model is being trained on unbalanced classes which causes it to overfit the majority class and ignore the othe…
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Hi,
I have 2 classes, one class has 5700 images and the other class has 9000 images. Upon training a YOLO V1 model, will we suffer a huge class imbalance problem? If yes, what are the measures we ca…
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Hi @NielsRogge . Thanks again for your work.
I'm facing class imbalance while training LiLt model. The imbalance is at the level of the sub-classes B-, I-, E-, S-. I have around 9 classes and for e…
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Hi,
I have 9 classes which are imbalanced. The smallest one has 42 examples and the tallest one 95.
I cannot downsample the bigger classes since I need all these training data. Is there any way …
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I am using instance segmentation task with SFPI dataset which has imbalance data.
These are the losses i could arrive at,
loss :0.5265
mrcnn_bbox_loss : 0.09073
mrcnn_class_loss :0.1468
mrcnn_ma…
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Hello, Thank you for the paper and the repo. I was wondering how can I deal with class imbalance during the active learning loop. Do you think the model will be choosing more samples from a class with…
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Resource: https://datascience.stackexchange.com/questions/13490/how-to-set-class-weights-for-imbalanced-classes-in-keras
**Criteria for success:**
- Model validation accuracy improves by at least 2%