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
The normal data set should include the training set verification set and the test set, and the final performance indicators are calculated on the test set, but the test set of the SECOND data set has no label, only two time-phase images.
Are the indicators for measuring network performance obtained from the verification set?
Or your complete data, that is, the label of the test set
The images contained in these two folders are the train and val in my folder. Do you mean to use the data in val.txt to test and output evaluation indicators?
If you need to divide the images contained in train.txt into training images and validation images, what are train and val images?
The text was updated successfully, but these errors were encountered:
Hi,
The test set is not provided with labels, so the validation sets are also used for testing.
As for SeK it is normal to have negative values, which means bad performance in predicting the semantic categories.
The normal data set should include the training set verification set and the test set, and the final performance indicators are calculated on the test set, but the test set of the SECOND data set has no label, only two time-phase images.
Are the indicators for measuring network performance obtained from the verification set?
Or your complete data, that is, the label of the test set
The images contained in these two folders are the train and val in my folder. Do you mean to use the data in val.txt to test and output evaluation indicators?
If you need to divide the images contained in train.txt into training images and validation images, what are train and val images?
The text was updated successfully, but these errors were encountered: