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 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

```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](https://www.apache.org/licenses/LICENSE-2.0).

# 写实肖像性别分类1024像素数据集（Realistic-Portrait-Gender-1024px）

**数据集类型：** 图像分类
**任务：** 性别分类（女性肖像与男性肖像二分类）
**数据集规模：** 约3200张图像
**图像分辨率：** 1024像素×1024像素
**授权协议：** Apache 2.0

## 数据集概述
本**写实肖像性别分类1024像素数据集（Realistic-Portrait-Gender-1024px）** 包含高分辨率（1024像素）写实肖像图像，按照感知性别身份标注为`female`（女性）或`male`（男性）。该数据集专为图像分类任务设计，尤其适用于性别分类模型的训练与评估。

## 支持任务
* **二分类性别分类**
预测给定肖像所呈现的个体为男性还是女性。

## 数据集结构
| 特征 | 类型 | 描述 |
| ---- | ---- | ---- |
| image | 图像 | RGB格式肖像图像（1024×1024像素） |
| label | 分类标签 | `0 = 女性肖像`，`1 = 男性肖像` |

**样本划分：**
* `train`：所有数据集样本均归入单一训练子集。

## 示例用法
python
from datasets import load_dataset

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

## 标签说明
* `0` — 女性肖像
* `1` — 男性肖像

## 授权协议
本数据集遵循 [Apache许可证2.0](https://www.apache.org/licenses/LICENSE-2.0) 进行分发。