| Proposed System’s Sub-Part/Entity | Parameter Value Selection |
| Benchmark Object Database | Caltech-101 |
| Sample Images/Class used in Simulations | 30 |
| Pre-Trained CNN Models | ・ VGG_16 ・ VGG_19 |
| CNN Deep Multiple Layers for Feature Extraction | ・ “fc6” ・ “fc7” ・ “fc8” |
| Dimensionality Reduction/Size | 300 |
| Dimensionality Reduction Strategy | PCA |
| Classifier Ensemble | ・ Base Classifiers: Linear Discriminant Analysis (LDA) ・ Number of Base Classifiers: 15 ・ Ensemble Training Technique: Bagging ・ Validation Strategy: 10-Fold Cross Validation |
| Number of Simulation Runs | 25 |