indianSpices The goal of this project is to create a model that can classify images of Indian spices into their respective categories. The project utilizes several popular CNN architectures such as VGG16, ResNet50, and InceptionV3 for feature extraction and classification. Project Overview The goal of this project is to create a model that can classify images of Indian spices into their respective categories. The project utilizes several popular CNN architectures such as VGG16, ResNet50, and InceptionV3 for feature extraction and classification. Requirements To run this project, you need the following dependencies: Python 3.x, TensorFlow, NumPy, Matplotlib, Seaborn, scikit-learn You can install the required packages using the following command: pip install tensorflow numpy matplotlib seaborn scikit-learn Dataset Repository name: Indian Spices Image Dataset Data identification number: 10.17632/vg77y9rtjb.2 Direct URL to data : https://data.mendeley.com/datasets/vg77y9rtjb/2 GITHUB REPO https://github.com/patilkr/indianSpices