ImagenHub/Subject_Driven_Image_Generation
收藏Hugging Face2023-11-27 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/ImagenHub/Subject_Driven_Image_Generation
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资源简介:
---
configs:
- config_name: default
data_files:
- split: full
path: data/full-*
- split: eval
path: data/eval-*
dataset_info:
features:
- name: prompt
dtype: string
- name: subject
dtype: string
- name: uid
dtype: int32
- name: subject_id
dtype: int32
splits:
- name: full
num_bytes: 15084
num_examples: 215
- name: eval
num_bytes: 9252
num_examples: 150
download_size: 15136
dataset_size: 24336
---
# Dataset Card
Dataset in [ImagenHub](arxiv.org/abs/2310.01596).
# Citation
Please kindly cite our paper if you use our code, data, models or results:
```
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
```
提供机构:
ImagenHub
原始信息汇总
数据集概述
配置
- 默认配置
- 数据文件:
- 完整数据集 (
full):data/full-* - 评估数据集 (
eval):data/eval-*
- 完整数据集 (
- 数据文件:
数据集信息
-
特征
prompt: 字符串类型subject: 字符串类型uid: 32位整数类型subject_id: 32位整数类型
-
数据分割
- 完整数据集 (
full)- 字节数: 15084
- 样本数: 215
- 评估数据集 (
eval)- 字节数: 9252
- 样本数: 150
- 完整数据集 (
-
数据集大小
- 下载大小: 15136
- 数据集大小: 24336



