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Ramanayaka D.H.
2023-028
Commits
4e625018
Commit
4e625018
authored
May 25, 2023
by
Parindya H.S.T
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@@ -35,7 +35,7 @@ between Convolutional Neural Network (CNN) model , pretrained model MobileNetV3
...
@@ -35,7 +35,7 @@ between Convolutional Neural Network (CNN) model , pretrained model MobileNetV3
It can experiment with all three architectures and evaluate their performance on the dataset to select
It can experiment with all three architectures and evaluate their performance on the dataset to select
the best model for the goal of detecting no balls, and then provide the best model.
the best model for the goal of detecting no balls, and then provide the best model.
Get the training and accuracy and the accuracy after evaluation
Get the training and accuracy and the accuracy after evaluation
.
Test the implementation using a test image
Test the implementation using a test image
.
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