cifar10-image-classification-cnn :

CNN-based image classification on CIFAR-10 dataset using TensorFlow/Keras. The model classifies images into 10 categories such as airplane, car, dog, and cat. Includes data preprocessing, training, and evaluation with accuracy visualization.

CIFAR-10 Image Classification using CNN

📌 Project_Description :-

This project implements an image classification model using Convolutional Neural Networks (CNN) on the CIFAR-10 dataset.

🎯 Objective:-

To classify images into 10 categories such as airplane, car, bird, cat, dog, automobile, etc.....

🛠 Technologies Used in cifar10-image-classification-cnn

• Python
• TensorFlow / Keras
• Google Colab

📊 Dataset :

CIFAR-10 dataset (built into TensorFlow)

📈 Results:-

Achieved ~70% accuracy using a simple CNN model.

🚀 Future Improvements:-

• Add data augmentation,
• Use transfer learning (ResNet, MobileNet),
• Hyperparameter tuning

▶ How to Run:-

Open the notebook in Google Colab and run all cells.