datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ramanv-image-captions-realramanv-image-captions-11ramanv-image-captions-2nordjylland-news-image-captioning
Dataset Card for "nordjylland-news-image-captioning"
Dataset Summary
This dataset is a collection of image-caption pairs from the Danish newspaper TV2 Nord.
Supported Tasks and Leaderboards
Image captioning is the intended task for this dataset. No leaderboard is active at this point.
Languages
The dataset is available in Danish (da).
Dataset Structure
An example from the dataset looks as follows.
{
"file_name": "1.jpg",
"caption":… See the full description on the dataset page: https://huggingface.co/datasets/alexandrainst/nordjylland-news-image-captioning.Chinese_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.learn_hf_food_not_food_image_captions
Food/Not Food Image Caption Dataset
Small dataset of synthetic food and not food image captions.
Text generated using Mistral Chat/Mixtral.
Can be used to train a text classifier on food/not_food image captions as a demo before scaling up to a larger dataset.
See Colab notebook on how dataset was created.
Example usage
import random
from datasets import load_dataset
# Load dataset
loaded_dataset = load_dataset("mrdbourke/learn_hf_food_not_food_image_captions")
# Get… See the full description on the dataset page: https://huggingface.co/datasets/mrdbourke/learn_hf_food_not_food_image_captions.ramanv-image-captions-11IntraOral_Gingivitis_Image_Captioning
A DENTAL INTRAORAL IMAGE DATASET OF GINGIVITIS FOR IMAGE CAPTIONING
Dataset Description
This dataset is a copy of A Dental IntraOral Image Dataset of Gingivitis for Image Captioning which is shared with the license CC BY 4.0.
This dataset contains 1,096 samples organized across multiple splits.
The dataset includes image data.
Splits
train: 732 samples
test: 182 samples
validation: 182 samples
Dataset Creation
This dataset was created using… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/IntraOral_Gingivitis_Image_Captioning.image_captions
From the Frontier Research Team at takara.ai we present over 1 million curated captioned images for multimodal text and image tasks.
Usage
from datasets import load_dataset
ds = load_dataset("takara-ai/image_captions")
print(ds)
Example
10,000 images from the dataset.
Methodology
We consolidated multiple open source datasets through an intensive 96-hour computational process across three nodes. This involved standardizing and validating the… See the full description on the dataset page: https://huggingface.co/datasets/takara-ai/image_captions.image-captioning-turkish
Türkçe Image Captioning Veri Seti
Bu veri seti BLIP3o modelinin pretrain eğitiminde kullanılan BLIP3o-Pretrain-Long-Caption ve BLIP3o-Pretrain-Short-Caption veri setlerinin Türkçeye çevirilmiş bir alt parçasıdır. Orijinal veri setinin oluşturulması ile ilgili detaylı bilgiye BLIP-3o makalesi üzerinden ulaşabilirsiniz.
Veri seti Image-to-Text modellerinin eğitilmesinde veya ince ayar sürecinde kullanılabilir. Veri seti, orijinal veri setinin lisansı olan Apache 2.0 altında… See the full description on the dataset page: https://huggingface.co/datasets/ituperceptron/image-captioning-turkish.ImageCaptioning_EN-HUramanv-image-captions-7coco2017_train_512x_image_caption_cannyhttps://github.com/wangherr/coco2017_for_huggingface
ImageCaptioning_SmallParquetsImageCaptions-7M-EmbeddingsChinese_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.ramanv-image-captionsramanv-image-captions-8indic-multilingual-image-captions
Indic Multilingual Image Caption Dataset
This dataset contains 4,500 unique images with captions in:
English
Hindi
Bengali
Tamil
Source composition
3,000 images from COCO Caption 2017
1,500 images from TextCaps
Each image is stored once and paired with four multilingual caption
variants. Hindi, Bengali and Tamil captions were generated from the
selected English captions using the NLLB-200 distilled translation model.
Intended use
The dataset was… See the full description on the dataset page: https://huggingface.co/datasets/arikatokachi/indic-multilingual-image-captions.coco2017_train_1024x_image_caption_cannyNSFW-Chinese-Adult-Image-Caption本数据集是一个面向成人内容研究与模型训练的高质量、细粒度图像标注数据集。数据中的人物均为中国成年人，内容涵盖多种成人图像类型、场景、人物特征、姿势、服饰、环境及视觉细节，具有较强的内容多样性。
所有文本描述与相关标签均由人工完成，并经过人工检查与复核，以尽可能保证标注内容的准确性、一致性和完整性。标注内容较为详细，可用于需要细粒度成人视觉语义理解的相关研究和模型训练任务。
本数据集可用于：
文生图模型的微调与 LoRA 训练；
图像描述、图像理解及视觉语言模型训练；
多模态大模型微调，例如 Qwen-VL 等模型；
成人内容分类、识别、审核与安全研究；
NSFW 图像描述生成及细粒度标签学习。
当前 Hugging Face 仓库仅公开少量示例数据。完整数据集目前约包含 500 张经过人工精细标注的图像，并仍在持续扩充和标注中。
如需获取完整数据集、了解价格、定制标注格式，或需要人工标注其他 NSFW 数据集，可通过 Telegram 联系：
Telegram: @ghost0588
重要说明… See the full description on the dataset page: https://huggingface.co/datasets/Richarddzz/NSFW-Chinese-Adult-Image-Caption.my-image-caption-datasetTextual-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.coco2017_train_512x_image_caption_depthVagina-Vision-Image-Folder-Captions-IncludedThis repo contains over 6000 images of female anatomy for the purposes of captioning or training captioning models. There may also be applications in image generation training.
There is a list.txt included which lists the filenames for use with joycaption. I have also included a subdirectory containing txt captions generated by joycaption. These captions share the same filename as the parent image.
Open source datasets have a distinct lack of human anatomy and pornographic content, and this… See the full description on the dataset page: https://huggingface.co/datasets/hardlyworking/Vagina-Vision-Image-Folder-Captions-Included.coco2017_train_image_captionhttps://github.com/wangherr/coco2017_for_huggingface
ramanv-image-captions-10COCO-Image-Captioningramanv-image-captions-9image-text-dataset-subset-300k-captions_only