CIFAR-10 Dataset 🖼️
CIFAR-10 is a widely used image dataset in machine learning and computer vision research. It contains 60,000彩色 images of 32x32 pixels, evenly distributed across 10 classes:
- Aircraft ✈️
- Automobile 🚗
- Bird 🐦
- Cat 🐱
- Deer 🦌
- Dog 🐶
- Frog 🐸
- Horse 🐴
- Ship ⛵
- Truck 🚚
Key Features 📊
- Diverse categories for robust model training
- Standard benchmark for convolutional neural networks (CNNs)
- Split into 50,000 training images and 10,000 test images
Use Cases 🤖
- Image classification tasks
- Object detection research
- Generative AI models (e.g., GANs)
How to Access 📁
- Download from official source
- Explore our dataset guide for preprocessing tips
- Try hands-on tutorials using CIFAR-10
For advanced applications, consider CIFAR-100 for more complex categorization challenges!