Author: Sarang Galada
Email ID: [email protected]
Date created: 26/12/2023

Description: Classification of Bow (weapon) images scraped from the web into 5 types using Transfer-learning and Fine-tuning of 3 popular CNNs - ResNet50V2, InceptionV3 and DenseNet121. Finally the best performing fine-tuned models of each are ensembled with majority-rule voting Results: Achieved a maximum accuracy and weighted-F1-score of 0.91, with 10 epochs of training on a bootstrapped dataset of 810 images

• Problem: Image Classification
• Data: Bow (weapon) Images
• Models: ResNet50V2, InceptionV3, DenseNet121
• Key libraries used: TensorFlow Keras, PIL, Scikit-Learn

Note: For testing and demo, see or run Code/Ensemble123.ipynb