Dataset Card for anime-faces

  Dataset Summary

This is a dataset consisting of 21551 anime faces scraped from www.getchu.com, which are then cropped using the anime face detection algorithm in https://github.com/nagadomi/lbpcascade_animeface. All images are resized to 64 * 64 for the sake of convenience. Please also cite the two sources when using this dataset. Some outliers are still present in the dataset: Bad cropping results Some non-human faces. Feel free to… See the full description on the dataset page: https://huggingface.co/datasets/huggan/anime-faces.

Danbooru2021 is a large-scale anime image database with 4.9m+ anime images and illustrations annotated with 162m+ tags; it can be useful for machine learning purposes such as image recognition and generation

A segmentation dataset for anime character

Danbooru2017 is a large-scale anime image database with 2.9m+ images annotated with 77.5m+ tags; it can be useful for machine learning purposes such as image recognition and generation

Test-HunyuanVideo-Anime-Stills

A small dataset of AI-generated anime-themed images designed for general anime text-to-image (T2I) training debug or testing Hunyuan Video. This dataset provides a balanced distribution of subjects and aims to align large pretrained models with anime aesthetics in terms of visual appeal and text faithfulness.

  Subject Selection

The subject distributions (other than the 50% anime girls) are selected based on the policy outlined in Meta's Emu… See the full description on the dataset page: https://huggingface.co/datasets/trojblue/test-HunyuanVideo-anime-images.

The selfie dataset contains 46,836 selfie images annotated with 36 different attributes. We only use photos of females as training data and test data. The size of the training dataset is 3400, and that of the test dataset is 100, with the image size of 256 x 256. For the anime dataset, we have firstly retrieved 69,926 animation character images from Anime-Planet1. Among those images, 27,023 face images are extracted by using an anime-face detector2. After selecting only female character images and removing monochrome images manually, we have collected two datasets of female anime face images, with the sizes of 3400 and 100 for training and test data respectively, which is the same numbers as the selfie dataset. Finally, all anime face images are resized to 256 x 256 by applying a CNN-based image super-resolution algorithm.

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anime characters datasets

This is an anime/manga/2D characters dataset, it is intended to be an encyclopedia for anime characters. The dataset is open source to use without limitations or any restrictions.

  how to use

from datasets import load_dataset dataset = load_dataset("lowres/anime")

  how to contribute

to add your own dataset, simply join the organization and create a new dataset repo and upload your images there. else you can open a new discussion and… See the full description on the dataset page: https://huggingface.co/datasets/lowres/anime.

Description: 👉 Download the dataset here The Anime vs Cartoon Dataset is a specialized collection of images designed to differentiate between two popular forms of animation: anime and cartoons. While both anime and cartoons share similarities in being animated visual media, they possess distinct stylistic and structural characteristics that set them apart. This dataset is intended for use in developing and testing convolutional neural networks (CNNs) or other machine learning models for… See the full description on the dataset page: https://huggingface.co/datasets/gtsaidata/Anime-vs-Cartoon-Dataset.

Danbooru2018 is a large-scale anime image database with 3.3m+ images annotated with 92.7m+ tags; it can be useful for machine learning purposes such as image recognition and generation

Danbooru2023: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset

Danbooru2023 is a large-scale anime image dataset with over 5 million images contributed and annotated in detail by an enthusiast community. Image tags cover aspects like characters, scenes, copyrights, artists, etc with an average of 30 tags per image. Danbooru is a veteran anime image board with high-quality images and extensive tag metadata. The dataset can be used to train image classification… See the full description on the dataset page: https://huggingface.co/datasets/nyanko7/danbooru2023.

This dataset contains synthetic image pairs for anime-to-manga translation tasks. Each pair includes a colored anime-style image and a corresponding manga-styled version, generated using the framework proposed in the paper “A Two-Stage Unsupervised GAN Approach for Anime-to-Manga Translation.”

Input images were selected from the Danbooru dataset using specific tags to ensure diversity and to avoid copyright concerns. The manga images were created through a two-step process: image segmentation followed by the application of screen patterns, simulating traditional manga styles while preserving structure and visual coherence.

The dataset is intended for research purposes such as training and evaluating anime-to-manga models, screen tone generation methods, and visual style transfer techniques. For further details, please refer to the associated paper and its authors.

A dataset for 2D pose estimation of anime/manga images.

Danbooru2020 is a large-scale anime image database with 4.2m+ anime images and illustrations annotated with 130m+ tags; it can be useful for machine learning purposes such as image recognition and generation

Danbooru2019 is a large-scale anime image database with 3.69m+ anime images and illustrations annotated with 108m+ tags; it can be useful for machine learning purposes such as image recognition and generation

Anime Head

## Overview

Anime Head is a dataset for object detection tasks - it contains Anime annotations for 604 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Anime

## Overview

Anime is a dataset for classification tasks - it contains Anime annotations for 11,998 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset

This dataset was created by RakshithAcharya

Released under CC0: Public Domain

Contents

It contains the following files:

PALM ('PALM Anime Locator Model') is a dataset of k=5,382 anime-style Danbooru2019 images annotated with the locations of n=14,394 hands, a YOLOv3 model trained using those annotations to detect hands in anime-style images, and a second dataset of n=96,534 hands cropped from the Danbooru2019 dataset using the PALM YOLO model and n=58,536 of them upscaled to ≥512px.

Original dataset from https://www.kaggle.com/datasets/subinium/highresolution-anime-face-dataset-512x512 This is a processed version of that dataset where the images are cropped into tall aspect ratio removing the cropping stripes.

Image size: 384x480

From the original source

"Although various Danbooru datasets have already been uploaded to Kaggle, the high-resolution face dataset was not uploaded separately, so I uploaded it with the consent of the author.

I hope that various studies related to the creation of anime faces will be conducted conveniently."

License: Data files © Original Authors

none-yet/anime-captions dataset hosted on Hugging Face and contributed by the HF Datasets community