Men-Women Dataset for Binary Image Classification

This dataset contains images used in the monograph titled Computer Vision in Python. Practical Applications of Deep Learning (Computer vision w Pythonie. Praktyczne zastosowania uczenia głębokiego) to build classification models. The dataset was prepared based on the original Human Images Dataset – Men and Women available on Kaggle (https://www.kaggle.com/datasets/snmahsa/human-images-dataset-men-and-women). From the original collection, 800 images belonging to each class (man, woman) were used (1,600 images in total). The images were scaled while maintaining their aspect ratio so that the longer side is equal to 300 pixels. The set was randomly divided into a training part (50% of the full set), validation and test part (each accounted for 25% of the full set). As a result, the training part contains 800 files, validation part – 400 and test part – 400. The dataset can be used to build models for image classification.