/Car-Color-Recognition-System-with-Convolutional-Neural-Networks-CNNs-in-TensorFlow

This project aims to develop an automated car color recognition system using a comprehensive dataset of various colored vehicles.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Car Color Detector with CNNs in TensorFlow_

This project aims to develop an automated car color recognition system using a comprehensive dataset of various colored vehicles.

Description:

Build a system to 💻 automatically recognize 🎨 car colors 🚙 using 📊 large dataset, TensorFlow's powerful CNNs. First, ✨ preprocess ✨ images using OpenCV, getting ready for in-depth analysis. This 🔝 efficient 🔝 system speeds up color ID processes for 🏢 various industries, e.g. vehicle mgmt, repair ops, or salvage appraisals.

👉 Technologies & Tools:

  • 🐍 Python
  • 🧠 TensorFlow
  • 👀 OpenCV
  • 🖥️ Linux
  • 📚 Jupyter Notebook

Dataset

You can download this dataset from this link https://www.kaggle.com/datasets/landrykezebou/vcor-vehicle-color-recognition-dataset

💪 Build a cool, handy, and sharp Car Color Detector with these tools! 💪