https://github.com/tigo-cmd/cnn_classifier_api_server

Backend API For tomatoes disease Classification
https://github.com/tigo-cmd/cnn_classifier_api_server

api cnn cnn-classification flask inception-v3 kaggle keras opencv python3 rest scikitlearn-machine-learning tensorflow

Last synced: about 1 month ago
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Backend API For tomatoes disease Classification

• Host: GitHub
• URL: https://github.com/tigo-cmd/cnn_classifier_api_server
• Owner: Tigo-cmd
• Created: 2025-03-28T15:00:35.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-25T10:37:02.000Z (about 1 year ago)
• Last Synced: 2025-07-13T08:45:26.272Z (12 months ago)
• Topics: api, cnn, cnn-classification, flask, inception-v3, kaggle, keras, opencv, python3, rest, scikitlearn-machine-learning, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 81.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Tomato-Leaf-Disease-Detection-

![Kaggle](https://img.shields.io/badge/Dataset-Kaggle-blue.svg) ![Python 3.12](https://img.shields.io/badge/Python-3.12-brightgreen.svg) ![Scikit-Learn](https://img.shields.io/badge/Library-ScikitLearn-orange.svg)![Keras](https://img.shields.io/badge/Keras-yellow.svg)![Tensorflow](https://img.shields.io/badge/Tensorflow-cyan.svg)

This repository consists of files required for end to end implementation and deployment of Deep Learning Tomato Leaf Disease Prediction API application deployed with flask you can find the Frontend here https://github.com/Tigo-cmd/CNN_Based_Tomatoe_diease_Classifier.

## Table of Contents

  * [Technologies Used](#technologies-used)

  * [Bug / Feature Request](#bug---feature-request)

The Tomato Leaf Disease Predictor is a flask API which classifies a plant/leaf image into 10 categories. 'Tomato_mosaic_virus', 'Early_blight', 'Septoria_leaf_spot', 'Bacterial_spot', 'Target_Spot', 'Spider_mites Two spotted_spider_mite', 'Tomato_Yellow_Leaf_Curl_Virus', 'Late_blight', 'Healthy', and 'Leaf_Mold'. The code is written in Python 3.6.10 and makes use of Keras and Tensorflow libraries in developing an InceptionV3 based image classification web application. 

If you don't have Python installed, you can find it [here](https://www.python.org/downloads/). If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after [cloning](https://www.howtogeek.com/451360/how-to-clone-a-github-repository/) the repository:

```bash

pip install -r requirements.txt

```

## Technologies Used

![](https://forthebadge.com/images/badges/made-with-python.svg)

 [](https://gunicorn.org) [](https://scikit-learn.org/stable/) 

## Bug / Feature Request

If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an [issue](https://github.com/divyansh1195/Tomato-Leaf-Disease-Detection-/issues) here by including your search query and the expected result

## Please do ⭐ the repository, if it helped you in anyway.