metadata

license: apache-2.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
language:
  - en
tags:
  - Gender
  - Classification
  - Male
  - Female
  - art
  - medical

Realistic-Portrait-Gender-1024px

Dataset Type: Image Classification Task: Gender Classification (Female vs. Male Portraits) Size: ~3,200 images Image Resolution: 1024px x 1024px License: Apache 2.0

Dataset Summary

The Realistic-Portrait-Gender-1024px dataset consists of high-resolution (1024px) realistic portraits labeled by perceived gender identity: female or male. It is designed for image classification tasks, particularly for training and evaluating gender classification models.

Supported Tasks

Binary Gender Classification Predict whether a given portrait represents a male or female individual.

Dataset Structure

Feature	Type	Description
image	Image	RGB portrait image (1024x1024 px)
label	Category	`0 = female`, `1 = male`

Split:

train: Entire dataset is provided under a single training split.

Example Usage

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Realistic-Portrait-Gender-1024px")
image, label = dataset['train'][0]['image'], dataset['train'][0]['label']

Labels

0 — female portrait
1 — male portrait

License

This dataset is distributed under the Apache License 2.0.