Shells or Pebbles image classification task - A Computer Vision project.
This image classification model is trained on CNN architecture using TensorFlow library. It classifies whether an image belongs to the Shells or Pebbles class.
The dataset used in this project is sourced from Kaggle. It consists of images categorized into two classes: Shells and Pebbles. Dataset link: https://www.kaggle.com/datasets/vencerlanz09/shells-or-pebbles-an-image-classification-dataset
To run the project: Download the dataset from the provided Kaggle link. Open and execute CV_CNN_Project.ipynb in Jupyter Notebook or JupyterLab.
Consider expanding the project by:
Adding data augmentation techniques. Experimenting with different CNN architectures. Deploying the model for practical use.