CIFAR-10 Stratified Dataset Split v1.0.0

📦 CIFAR-10 Stratified Dataset Split

This release contains the processed CIFAR-10 dataset used in the project.

The original CIFAR-10 training dataset was split into three subsets using stratified sampling to preserve the class distribution across all splits:

• 🏋️ Training: 40,000 images
• 🔍 Validation: 10,000 images
• 🧪 Test: 10,000 images

Each subset contains its corresponding images and label CSV file.

📁 Dataset Structure

cifar-10/
├── train/
├── val/
├── test/
├── trainLabels.csv
├── valLabels.csv
└── testLabels.csv

⚠️ Important

This is a processed split of the original CIFAR-10 dataset and is provided for reproducibility of this project.

The underlying images originate from the CIFAR-10 dataset. Please refer to the original dataset source and its terms of use.

🎯 Purpose

This dataset split is used for training, validating, and testing the CNN models developed in this repository.