sanaa13/breastmnist2

BreastMNIST Dataset

This dataset contains medical imaging data for breast cancer classification. It is split into training, validation, and test sets.

Dataset Structure

The dataset includes:

• train_images: Images for training
• train_labels: Labels for training
• val_images: Images for validation
• val_labels: Labels for validation
• test_images: Images for testing
• test_labels: Labels for testing

Configurations

---

datasets: - name: breastmnist configs: - name: default description: "Default configuration with all available data." - name: balanced description: "Configuration with a balanced dataset between classes."

Usage

You can load the dataset using the following commands:

from datasets import load_dataset

# Load the default configuration
dataset = load_dataset("sanaa13/breastmnist1", "default")

# Load the balanced configuration
balanced_dataset = load_dataset("sanaa13/breastmnist1", "balanced")