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@@ -63,3 +63,8 @@ EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/HELMINTHS_BINARY_Efficient
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 EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras filter=lfs diff=lfs merge=lfs -text
 EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/HELMINTHS_BINARY_EfficientNetB0_Round5.keras filter=lfs diff=lfs merge=lfs -text
+MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round1/HELMINTHS_BINARY_MobileNetV2_Round1.keras filter=lfs diff=lfs merge=lfs -text
+MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round2/HELMINTHS_BINARY_MobileNetV2_Round2.keras filter=lfs diff=lfs merge=lfs -text
+MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round3/HELMINTHS_BINARY_MobileNetV2_Round3.keras filter=lfs diff=lfs merge=lfs -text
+MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round4/HELMINTHS_BINARY_MobileNetV2_Round4.keras filter=lfs diff=lfs merge=lfs -text
+MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round5/HELMINTHS_BINARY_MobileNetV2_Round5.keras filter=lfs diff=lfs merge=lfs -text

MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round1/HELMINTHS_BINARY_MobileNetV2_Round1.keras

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round1/classification_metrics.txt

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+Precision: 1.0000
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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round1/testing_metrics.txt

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round1/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Validation Accuracy: 0.9880
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+  Validation Loss: 0.0307
+--------------------------------------------------
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+Epoch 30
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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round2/HELMINTHS_BINARY_MobileNetV2_Round2.keras

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round2/classification_metrics.txt

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+Precision: 1.0000
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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round2/testing_metrics.txt

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round2/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round3/HELMINTHS_BINARY_MobileNetV2_Round3.keras

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round3/classification_metrics.txt

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+Precision: 1.0000
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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round3/testing_metrics.txt

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round3/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round4/HELMINTHS_BINARY_MobileNetV2_Round4.keras

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round4/classification_metrics.txt

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round4/testing_metrics.txt

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MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round4/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+Epoch 21
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9915
+  Training Loss: 0.0002
+  Validation Loss: 0.0311
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9958
+  Training Loss: 0.0003
+  Validation Loss: 0.0137
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9965
+  Training Loss: 0.0004
+  Validation Loss: 0.0109
+--------------------------------------------------
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+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0004
+  Validation Loss: 0.0114
+--------------------------------------------------
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+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9975
+  Training Loss: 0.0003
+  Validation Loss: 0.0078
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9942
+  Training Loss: 0.0004
+  Validation Loss: 0.0210
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9982
+  Training Loss: 0.0006
+  Validation Loss: 0.0047
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9973
+  Training Loss: 0.0004
+  Validation Loss: 0.0082
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0001
+  Validation Loss: 0.0104
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0003
+  Validation Loss: 0.0037
+--------------------------------------------------

MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round5/HELMINTHS_BINARY_MobileNetV2_Round5.keras

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+oid sha256:a0ffb488d9ff113c45fc22385e1952587ce8646edad2fc03dd3bf8d0b79f9a9c
+size 13561499

MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round5/classification_metrics.txt

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+Precision: 1.0000
+Recall: 0.9985
+Sensitivity: 0.9985
+Specificity: 1.0000
+F1-Score: 0.9992
+AUC: 1.0000
+MCC: 0.9977
+Cohen's Kappa: 0.9977
+Balanced Accuracy: 0.9992
+Jaccard Index: 0.9985
+Log Loss: 0.0024
+F0.5-Score: 0.9997

MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round5/testing_metrics.txt

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+accuracy: 0.9990
+auc: 1.0000
+loss: 0.0024

MobileNetV2/HELMINTHS_BINARY_MobileNetV2_Round5/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9878
+  Validation Accuracy: 0.9898
+  Training Loss: 0.0377
+  Validation Loss: 0.0309
+--------------------------------------------------
+Epoch 2
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9889
+  Training Loss: 0.0066
+  Validation Loss: 0.0331
+--------------------------------------------------
+Epoch 3
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9936
+  Training Loss: 0.0044
+  Validation Loss: 0.0199
+--------------------------------------------------
+Epoch 4
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9904
+  Training Loss: 0.0023
+  Validation Loss: 0.0306
+--------------------------------------------------
+Epoch 5
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9895
+  Training Loss: 0.0019
+  Validation Loss: 0.0355
+--------------------------------------------------
+Epoch 6
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9947
+  Training Loss: 0.0018
+  Validation Loss: 0.0178
+--------------------------------------------------
+Epoch 7
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0015
+  Validation Loss: 0.0091
+--------------------------------------------------
+Epoch 8
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0010
+  Validation Loss: 0.0099
+--------------------------------------------------
+Epoch 9
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9943
+  Training Loss: 0.0009
+  Validation Loss: 0.0165
+--------------------------------------------------
+Epoch 10
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+  Validation Accuracy: 0.9968
+  Training Loss: 0.0009
+  Validation Loss: 0.0096
+--------------------------------------------------
+Epoch 11
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9967
+  Training Loss: 0.0006
+  Validation Loss: 0.0090
+--------------------------------------------------
+Epoch 12
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+  Validation Accuracy: 0.9961
+  Training Loss: 0.0006
+  Validation Loss: 0.0112
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9971
+  Training Loss: 0.0007
+  Validation Loss: 0.0076
+--------------------------------------------------
+Epoch 14
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9951
+  Training Loss: 0.0007
+  Validation Loss: 0.0152
+--------------------------------------------------
+Epoch 15
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9928
+  Training Loss: 0.0005
+  Validation Loss: 0.0240
+--------------------------------------------------
+Epoch 16
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9957
+  Training Loss: 0.0010
+  Validation Loss: 0.0134
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9941
+  Training Loss: 0.0007
+  Validation Loss: 0.0201
+--------------------------------------------------
+Epoch 18
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9946
+  Training Loss: 0.0002
+  Validation Loss: 0.0163
+--------------------------------------------------
+Epoch 19
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0004
+  Validation Loss: 0.0087
+--------------------------------------------------
+Epoch 20
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+  Validation Accuracy: 0.9965
+  Training Loss: 0.0003
+  Validation Loss: 0.0111
+--------------------------------------------------
+Epoch 21
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+  Validation Accuracy: 0.9949
+  Training Loss: 0.0003
+  Validation Loss: 0.0179
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9942
+  Training Loss: 0.0001
+  Validation Loss: 0.0217
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9942
+  Training Loss: 0.0006
+  Validation Loss: 0.0183
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9955
+  Training Loss: 0.0003
+  Validation Loss: 0.0140
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0001
+  Validation Loss: 0.0113
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0002
+  Validation Loss: 0.0089
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9975
+  Training Loss: 0.0005
+  Validation Loss: 0.0074
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9981
+  Training Loss: 0.0004
+  Validation Loss: 0.0053
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9963
+  Training Loss: 0.0006
+  Validation Loss: 0.0118
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0004
+  Validation Loss: 0.0028
+--------------------------------------------------