This project aims to develop an automated car color recognition system using a comprehensive dataset of various colored vehicles.
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.
- 🐍 Python
- 🧠 TensorFlow
- 👀 OpenCV
- 🖥️ Linux
- 📚 Jupyter Notebook
You can download this dataset from this link https://www.kaggle.com/datasets/landrykezebou/vcor-vehicle-color-recognition-dataset