Model Evaluation Report
Model: simpler_cnn
- Test accuracy: 0.8286
precision recall f1-score support
No Overlay 0.87 0.90 0.89 154
Has Overlay 0.70 0.62 0.66 56
accuracy 0.83 210
macro avg 0.78 0.76 0.77 210
weighted avg 0.82 0.83 0.83 210
False Positive Images:
False Negative Images:
Model: mobilenetv2
- Test accuracy: 0.7381
precision recall f1-score support
No Overlay 0.74 0.99 0.85 154
Has Overlay 0.67 0.04 0.07 56
accuracy 0.74 210
macro avg 0.70 0.51 0.46 210
weighted avg 0.72 0.74 0.64 210
False Positive Images:
False Negative Images:
Model: resnet50
- Test accuracy: 0.9619
precision recall f1-score support
No Overlay 0.95 1.00 0.97 154
Has Overlay 1.00 0.86 0.92 56
accuracy 0.96 210
macro avg 0.98 0.93 0.95 210
weighted avg 0.96 0.96 0.96 210
False Positive Images:
False Negative Images:
