prithivMLmods/Gender-Classifier-7K

Gender-Classifier-7K

Gender-Classifier-7K is a dataset designed for image classification, focusing on distinguishing between female and male individuals. This dataset includes a diverse collection of high-quality images to improve classification accuracy and enhance the model’s overall performance. By offering a well-balanced dataset, it aims to support the development of reliable and fair gender classification models.

Label Mappings

• Mapping of IDs to Labels: {0: 'Female', 1: 'Male'}
• Mapping of Labels to IDs: {'Female': 0, 'Male': 1}

This dataset serves as a valuable resource for training, evaluating, and benchmarking AI models in the field of gender recognition.

Dataset Composition

The Gender-Classifier-7K dataset is composed of modular subsets derived from various sources to ensure diversity and representation. These subsets contribute to the overall quality and robustness of the dataset, enhancing its utility in real-world gender classification tasks.