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prithivMLmods/Realistic-Portrait-Gender-1024px

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… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Realistic-Portrait-Gender-1024px.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Dataset Card

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

FeatureTypeDescription
imageImageRGB portrait image (1024x1024 px)
labelCategory0 = female, 1 = male

Split:

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

Example Usage

python
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.