Metadata-Version: 2.1
Name: Image-AutoTrainer
Version: 1.0.3
Summary: It's an auto image classification library
Home-page: https://github.com/yinsights8/Image_AutoTrainer
Author: Yash Dhakade
Author-email: yinsights8@gmail.com
License: MIT
Keywords: autotrainer
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow==2.15.0
Requires-Dist: scipy==1.11.4
Requires-Dist: numpy==1.26.2
Requires-Dist: pandas
Requires-Dist: Pillow==10.1.0
Requires-Dist: Flask==3.0.0
Requires-Dist: Flask-Cors==3.0.10

## Image_AutoTrainer: An Object Classification Library

Authors:
Yash Dhakade

Email: yinsights8@gmail.com

Github: https://github.com/yinsights8

🚀 About Me
I'm a Data Science learner. This library I've developed this for learning purposes only


About Image_AutoTrainer 
Image_AutoTrainer is an object classification library that is built on top of machine learning libraries such as TensorFlow and Keras. This library allows you to experiment faster with image classification problems on different art of state models in deep learning. you can classify any image with any model without writing n lines of code. 

Some advantages Image_AutoTrainer :

Simple -- it is simple in implementation, it saves a lot of time for a developer, 

Flexible -- Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy that’s why 
Image_AutoTrainer is Flexible.

Powerful -- Keras offers robust performance and scalability, enabling the utilization of Image_AutoTrainer in a production environment.
