Realistic-Face-Portrait-1024px
收藏魔搭社区2025-12-03 更新2025-05-17 收录
下载链接:
https://modelscope.cn/datasets/prithivMLmods/Realistic-Face-Portrait-1024px
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资源简介:
# **Realistic-Face-Portrait-1024px**
### `Dataset Summary`
**Realistic-Face-Portrait-1024px** is a high-resolution image dataset containing **6,712** realistic portrait images of **male and female** individuals. Each image is standardized to **1024×1024 pixels**, making it suitable for tasks involving high-fidelity facial analysis, face generation, and image-to-image transformation tasks such as super-resolution or inpainting.
### Dataset Structure
* **Split:** `train`
* **Number of rows:** 6,712
* **Image resolution:** 1024x1024 pixels
* **Data size:** \~9.09 GB (Parquet auto-converted)
### Annotations
* **Modality:** Images only (no text, captions, or bounding boxes)
* **Labels:** No labels; intended for unsupervised or generative tasks
### Intended Uses
This dataset is well-suited for:
* Training generative models (e.g., GANs, Diffusion Models)
* Facial recognition pretraining or fine-tuning
* Aesthetic portrait generation
* Super-resolution and image enhancement
* Style transfer and facial feature manipulation
### Tags
`Image Classification`, `Image`, `Portraits`, `1024px`, `Hi-Res`, `Male`, `Female`
### Usage Example
```python
from datasets import load_dataset
import matplotlib.pyplot as plt
dataset = load_dataset("prithivMLmods/Realistic-Face-Portrait-1024px", split="train")
# Show first image
image = dataset[0]["image"]
plt.imshow(image)
plt.axis("off")
plt.show()
```
### License
This dataset is licensed under the **Apache 2.0 License**.
# **写实人脸肖像1024像素(Realistic-Face-Portrait-1024px)**
### 数据集概述
**写实人脸肖像1024像素(Realistic-Face-Portrait-1024px)** 是一款高分辨率图像数据集,共包含6712张男女个体的写实肖像图像。所有图像均统一标准化为1024×1024像素规格,可适配高保真面部分析、人脸生成以及超分辨率、图像修复等图像到图像转换类任务。
### 数据集结构
* **数据集划分:** 仅训练集(train)
* **数据样本数:** 6712个
* **图像分辨率:** 1024×1024像素
* **数据体量:** 约9.09 GB(Parquet格式自动转换版本)
### 标注信息
* **数据模态:** 仅包含图像,无文本说明、标题或边界框标注
* **标签配置:** 无额外标签,适用于无监督学习或生成式任务
### 预期应用场景
本数据集适配以下方向:
* 训练生成式模型(如生成对抗网络GANs、扩散模型Diffusion Models)
* 人脸识别任务的预训练或微调
* 写实肖像生成
* 超分辨率处理与图像增强
* 风格迁移与面部特征编辑
### 数据集标签
`图像分类`、`图像`、`肖像`、`1024px`、`Hi-Res`、`男性`、`女性`
### 使用示例
python
from datasets import load_dataset
import matplotlib.pyplot as plt
dataset = load_dataset("prithivMLmods/Realistic-Face-Portrait-1024px", split="train")
# Show first image
image = dataset[0]["image"]
plt.imshow(image)
plt.axis("off")
plt.show()
### 许可证
本数据集采用**Apache 2.0许可证**进行授权。
提供机构:
maas
创建时间:
2025-05-10



