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I need to know do I need to calculate the above metrics by selecting every available trained weight with all the test data to evaluate the model performance? Or do I only need to calculate those...
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I need to know whether I should consider the number of labels available or the number of images available to increase the model performance. I mean in my case in a single image I have multiple...
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I am training a model using the Mask-RCNN deep learning model(There are multiple classes available ). I need to know for evaluation purposes how can I calculate the mAP(Mean Average Precision),...
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I need to calculate the accuracy, precision, recall, specificity, and F1 score for my Mask-RCNN model. Hence I hope to calculate the confusion matrix to the whole dataset first to get the TP, FP,...
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Currently, I have trained a Mask-RCNN model on a dataset(train and Val)and chosen the final model by considering the minimum validation loss. Now I need to evaluate the model performance. So to do...
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