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Car Attribute Analysis using YOLOv8 + PaddleCls + ColorDetection

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erwinyo/Car-Attribute-Analysis

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Car Attribute Analysis (CAA)

The Car Attribute Analysis Project explores various car characteristics through data analysis, uncovering patterns and relationships between attributes (like type of car and color). This project can be used to segment cars based on features, predict future trends, and offer valuable insights for the automotive industry.

Demo video

Alt Text

IMPORTANT NOTE

The requirements:

  1. Python version must 3.10.12

Getting started

Setup environment

(THIS IS A MUST ON FIRST STEP)
./setup-environemnt.sh

The above command will set up a virtual environment.

NOTE : You have to activate the environment manually using command "source env/bin/activate" (linux/macOS) and "env\Scripts\activate.bat" (Windows)

Setup package

./setup-package.sh

The above command will set up package that needed to make the program run.

Setup files

./setup-file.sh

The above command will set up files that needed to make the program run.

Usage

python main.py

Feedback or Support

If you have any feedback or need support, please reach out to us at [email protected]

Acknowledgements

I'm grateful for this cool library to help make this project a success