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Shells or Pebbles image classification task - A Computer Vision project.

Jupyter Notebook 100.00%
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning image-classification image-processing neural-network neural-networks

shells-or-pebbles's Introduction

Shells-or-Pebbles

Shells or Pebbles image classification task - A Computer Vision project.

Model Training

This image classification model is trained on CNN architecture using TensorFlow library. It classifies whether an image belongs to the Shells or Pebbles class.

Dataset

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

Usage

To run the project: Download the dataset from the provided Kaggle link. Open and execute CV_CNN_Project.ipynb in Jupyter Notebook or JupyterLab.

Future Steps

Consider expanding the project by:

Adding data augmentation techniques. Experimenting with different CNN architectures. Deploying the model for practical use.

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