datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dummy_image_text_data
Dataset Card for "dummy_image_text_data"
More Information needed
open-image-preferences-v1
Open Image Preferences
Prompt: Anime-style concept art of a Mayan Quetzalcoatl biomutant, dystopian world, vibrant colors, 4K.
Image 1
Image 2
Prompt: 8-bit pixel art of a blue knight, green car, and glacier landscape in Norway, fantasy style, colorful and detailed.
Image 1… See the full description on the dataset page: https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1.SukaSuka-image-dataset
该数据集包含了《末日时在做什么？有没有空？可以来拯救吗？》大部分主要角色角色的图像数据,来源为动漫截图与同人二创。
为方便LoRA模型训练，所有图片尺寸均截为512x640尺寸，相应打标主要由Waifu Diffusion 1.4 Tagger V2自动完成，部分手工调整。
欢迎提交PR补充或修正本数据集！
Alpha：8.21号之后的clone都是放大了两倍的图片，这是为了sdxl做准备，如果你还需要512*640尺寸的数据集，你可以在clone之后，执行下面的命令
git checkout 183e253c4c304fc6c5ef5046f1940712c349c94e
相关数据集的更正作业正在火热的进行中，请期待继续的更新吧~
Defactify_Image_Dataset
Defactify_Image_Dataset
This dataset is associated with the paper A Comprehensive Dataset for Human vs. AI Generated Image Detection.
📝 Dataset Description
Dataset Summary
The Defactify_Image_Dataset (A Comprehensive Dataset for Human vs. AI Generated Image Detection) is a high-quality collection of 96,000 images and associated metadata designed to benchmark models for detecting and identifying the source of artificially generated content. Built using the MS… See the full description on the dataset page: https://huggingface.co/datasets/Rajarshi-Roy-research/Defactify_Image_Dataset.Tunisian-Proverbs-with-Image-Associations-A-Cultural-and-Linguistic-DatasetTunisian Proverbs with Image Associations: A Cultural and Linguistic Dataset
Description
This dataset explores the rich oral tradition of Tunisian proverbs mapped into text format, pairing each with contextual explanations, English translations both word-to-word and it's equivalent Target Language dynamic, Automated prompt and AI-generated visual interpretations.
It bridges linguistic, cultural, and visual modalities making it valuable for tasks in cross-cultural NLP, generative… See the full description on the dataset page: https://huggingface.co/datasets/HabibaAbderrahim/Tunisian-Proverbs-with-Image-Associations-A-Cultural-and-Linguistic-Dataset.malfunction-image-datasetChinese_Children_Image_Captioning_Dataset_Split0
CODP-1200：Children Oral Description of Picture（Chinese-Child-Captions）
CODP-1200: An AIGC based benchmark for assisting in child language acquisition
数据集介绍
目前已知最大的儿童图像描述数据集，children image captioning
共有1200张图片
每张图片对应五个中文描述，每两张图片为一组
描述文字600*5=3000
如果使用CODP-1200数据集，请引用以下文章
@article{LENG2024102627,
title = {CODP-1200: An AIGC based benchmark for assisting in child language acquisition},
journal = {Displays},
volume = {82},
pages = {102627},
year =… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Chinese_Children_Image_Captioning_Dataset_Split0.pagoda-text-and-image-dataset
Dataset Card for "pagoda-text-and-image-dataset"
More Information needed
yt_full_image_dataset
Dataset Card for "yt_full_image_dataset"
More Information needed
Chinese_Children_Image_Captioning_Dataset_Split1
CODP-1200：Children Oral Description of Picture（Chinese-Child-Captions）
CODP-1200: An AIGC based benchmark for assisting in child language acquisition
数据集介绍
目前已知最大的儿童图像描述数据集，children image captioning
共有1200张图片
每张图片对应五个中文描述，每两张图片为一组
描述文字600*5=3000
如果使用CODP-1200数据集，请引用以下文章
@article{LENG2024102627,
title = {CODP-1200: An AIGC based benchmark for assisting in child language acquisition},
journal = {Displays},
volume = {82},
pages = {102627},
year =… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Chinese_Children_Image_Captioning_Dataset_Split1.ai-image-detection-dataset
AI-Image Detection Dataset
Paired real / AI images, with shared image-grounded captions, for training and
evaluating AI-generated-image detectors.
Each of 10,000 real photos is captioned once (BLIP-2) and paired with one synthetic
partner per generator (6 generators → 60,000 AI images). A real image and all of its
AI partners share the same prompt, so the only systematic difference between the
classes is the generative process itself. A detector trained here is pushed toward the… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/ai-image-detection-dataset.fashion-image-datasettext-2-image-human-preferences-2m
Text-to-image human preferences: 2M votes across 30 models
This dataset contains the complete voting record behind the
Datapoint Image Bench
leaderboard: 2,161,160 validated pairwise votes — exactly 10 for each of
216,116 image pairs. The votes compare 30 text-to-image models in a complete
round-robin on 500 prompts, judged by annotators from over 200 countries.
Every vote includes the annotator's trust score at the time the vote was
cast.
Built on the Datapoint annotation… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-image-human-preferences-2m.open-image-preferences-v1-binarized
Open Image Preferences
Prompt: Anime-style concept art of a Mayan Quetzalcoatl biomutant, dystopian world, vibrant colors, 4K.
Image 1
Image 2
Prompt: 8-bit pixel art of a blue knight, green car, and glacier landscape in Norway, fantasy style, colorful and detailed.
Image 1… See the full description on the dataset page: https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1-binarized.yt_main_image_dataset
Dataset Card for "yt_main_image_dataset"
More Information needed
SoulTide-ImageData-Dataset
目录结构
character/
└── [char]/
├── resource/ | 原始资源
│ ├── rotate/ | 旋转变体资源
│ ├── alpha_bg/ | 透明背景的资源
│ ├── white_bg/ | 从透明背景添加黑色背景的资源
│ ├── black_bg/ | 从透明背景添加白色背景的资源
│ ├── unused/ | 不使用的资源
│ └── ready/ | 准备使用但还未分类的资源
├── categorized/ | 分类完成的资源
├── processed/ | 完成预处理的资源
└── training_set/ | 以 [训练次数_概念] 命名的训练集
工具
搭配此管理器来生成所需的训练集:https://github.com/Sosarciel/SoulTide-ImageData-Manager
my-image-caption-datasetimage-text-dataset-subset-300k-captions_onlyimage_dataPyVision-Image-SFT-Data
PyVision-Image-RL-Data
Project Page | Paper | GitHub
This repository contains the reinforcement learning (RL) data used to train PyVision-Image-RL, as presented in the paper "PyVision-RL: Forging Open Agentic Vision Models via RL".
PyVision-RL is a reinforcement learning framework for open-weight multimodal models designed to stabilize training and sustain interaction, preventing interaction collapse and encouraging multi-turn tool use in agentic tasks.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Agents-X/PyVision-Image-SFT-Data.character_turnaround_sheet_qwen_image_edit_2509_datasetBase images were generated by Qwen Image and I used Wan to do 360 degree rotation. I then took frames from the rotation and concatenated them together using imagemagick.
Textual-Image-Caption-Dataset
Update: OCT-2023
Add v2 with recent SoTA model swinV2 classifier for both soft/hard-label visual_caption_cosine_score_v2 with person label (0.2, 0.3 and 0.4)
Introduction
Modern image captaining relies heavily on extracting knowledge, from images such as objects,
to capture the concept of static story in the image. In this paper, we propose a textual visual context dataset
for captioning, where the publicly available dataset COCO caption (Lin et al., 2014) has been… See the full description on the dataset page: https://huggingface.co/datasets/AhmedSSabir/Textual-Image-Caption-Dataset.example-space-to-dataset-imageDemo to save data from a Space to a Dataset. Goal is to provide reusable snippets of code.
Documentation: https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#scheduled-uploads
Space: https://huggingface.co/spaces/Wauplin/space_to_dataset_saver/
JSON dataset: https://huggingface.co/datasets/Wauplin/example-space-to-dataset-json
Image dataset: https://huggingface.co/datasets/Wauplin/example-space-to-dataset-image
Image (zipped) dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Wauplin/example-space-to-dataset-image.govdocs1-image
BEE-spoke-data/govdocs1-image
This contains .jpg files from govdocs1. Light deduplication was applied (i.e. jdupes on all files) which removed ~500 duplicate images.
DatasetDict({
train: Dataset({
features: ['image'],
num_rows: 108895
})
})
source
Source info/page: https://digitalcorpora.org/corpora/file-corpora/files/
@inproceedings{garfinkel2009bringing,
title={Bringing Science to Digital Forensics with Standardized Forensic Corpora}… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/govdocs1-image.image-manipulation-dataset-compilationpagoda-text-and-image-dataset-small
Dataset Card for "pagoda-text-and-image-dataset-small"
More Information needed
brain-tumor-image-dataset-semantic-segmentation
Dataset Card for "brain-tumor-image-dataset-semantic-segmentation"
Dataset Description
The Brain Tumor Image Dataset (BTID) for Semantic Segmentation contains MRI images and annotations aimed at training and evaluating segmentation models. This dataset was sourced from Kaggle and includes detailed segmentation masks indicating the presence and boundaries of brain tumors.
This dataset can be used for developing and benchmarking algorithms for medical image segmentation… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/brain-tumor-image-dataset-semantic-segmentation.turkish-image-description-dataset-shard-42
Turkish Image Description Dataset - Shard 42
This dataset contains translated image descriptions from English to Turkish.
Contents
Images with their Turkish and original English descriptions
How to use
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("ozertuu/turkish-image-description-dataset-shard-42")
# Access data
for item in dataset["train"]:
image = item["image"] # PIL.Image object
turkish_description =… See the full description on the dataset page: https://huggingface.co/datasets/ozertuu/turkish-image-description-dataset-shard-42.turkish-image-description-dataset-shard-17
Turkish Image Description Dataset - Shard 17
This dataset contains translated image descriptions from English to Turkish.
Contents
Images with their Turkish and original English descriptions
How to use
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("ozertuu/turkish-image-description-dataset-shard-17")
# Access data
for item in dataset["train"]:
image = item["image"] # PIL.Image object
turkish_description =… See the full description on the dataset page: https://huggingface.co/datasets/ozertuu/turkish-image-description-dataset-shard-17.shopping-queries-image-dataset
Shopping Queries Image Dataset (SQID 🦑): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search
Introduction
The Shopping Queries Image Dataset (SQID) is a dataset that includes image information for over 190,000 products. This dataset is an augmented version of the Amazon Shopping Queries Dataset, which includes a large number of product search queries from real Amazon users, along with a list of up to 40 potentially relevant results and… See the full description on the dataset page: https://huggingface.co/datasets/crossingminds/shopping-queries-image-dataset.