Mens & Womens Images for Fashion, Classification

• train: Contains images for training, split into Male and Female subfolders.
• valid: Contains images for validation, split into Male and Female subfolders.
• test: Contains images for testing, split into Male and Female subfolders.

Each folder contains a mix of male and female images, labeled by their respective subfolders, ensuring easy integration into supervised learning workflows.

Usage:

This dataset is compatible with popular deep learning frameworks such as TensorFlow, Keras, and PyTorch, making it suitable for:

• Binary gender classification tasks.
• Training and benchmarking classification models.
• Experimenting with computer vision architectures, including CNNs and transfer learning.

Example Applications:

• Gender Classification: Identifying male or female based on fashion images.
• Model Training: Training binary classification models for image recognition.
• Computer Vision Research: Testing and refining machine learning algorithms in image classification.

This dataset is sourced from Kaggle.