Published September 3, 2024 | Version v2
Data paper Open

Indian Spices Code

Authors/Creators

  • 1. ROR icon Vishwakarma University
  • 2. ROR icon Kasetsart University
  • 3. ROR icon Regent University

Description

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

Files

README.md

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Additional details

Software

Repository URL
https://github.com/patilkr/indianSpices
Programming language
Python