Skip to content

DongChanKIM2/AI-Data-Hackathon-Competiton

Repository files navigation

AI-Data-Hackathon-Competiton

Agricultural Video AI Data Utilization Idea Hackathon

AUR license

2021 AI Hackathon Competition 최우수상

Topic

This AI competition held at NIA

The Topic is classifying variety and quality of fruits through image analysis
Deep learning analysis has made several efforts to proceed more efficiently as it is a topic that is not easy and due to its large capacity. In addition, the advantages and disadvantages of deep learning are compared by analyzing machine learning.

ML

Environment

  • Colab(cause it provides GPU)
  • Google Drive(ZIP file)

Installation

$ pip install -U scikit-learn

Clone Repository...

$ mkdir project
$ cd project
$ git clone https://github.com/DongChanKIM2/AI-Data-Hackathon-Competiton.git
$ cd AI-Data-Hackathon-Competiton

Results

confirm the zip extracted

image-20210408153737035

image-20210408153810047

image-20210408153843925

DL

Environment

  • Colab(cause it provides GPU)
  • Google Drive(ZIP file)

Installation

$ pip install tensorflow

clone Repository

$ mkdir project
$ cd project
$ git clone https://github.com/DongChanKIM2/AI-Data-Hackathon-Competiton.git
$ cd AI-Data-Hackathon-Competiton

Results

image-20210408171646203

image-20210408171656530

image-20210408172902704

Feedback

This is the first time to challenge a AI Competition

During this project, I've learned that there are so many techniques of analysis and ways of optimization

I should keep study steadily...

Thanks to 형규 and 은상

License


Copyright © 2021 Chan APACHE

About

Agricultural Video AI Data Utilization Idea Hackathon

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published