The dataset can be found here: https://drive.google.com/file/d/1HG7YnakUkjaxtNMclbl2t5sJwGLcHYsI/view?usp=sharing
This dataset should only be used for educational purposes. Please cite me or this repo if you use this dataset in your projects, research papers, and etc.
Mckinsey666
This is an dataset consisting of 63632 high-quality anime faces scraped from www.getchu.com, which are then cropped using the anime face detection algorithm in https://github.com/nagadomi/lbpcascade_animeface. Images sizes vary from 90 * 90 ~ 120 * 120 (you can simply rescale them before using them).
Compared to other widely used datasets (such as the danbooru dataset, which is actually quite a mess), this dataset contains high quality anime character images with clean background and rich colors.
However, few outliers are still present in the dataset:
- Bad cropping results
- Some non-human faces.
Feel free to contribute to this dataset by adding images of similar quality or adding image labels.
I made the web-scraping and face-detection code open-source. Make modifications as you wish. To scrape the pictures directly from the website and detect the faces on your own, type the following commands:
git clone https://github.com/Mckinsey666/Anime-Face-Dataset.git
cd Anime-Face-Dataset/src
python3 scrape.py
python3 detect.py
The scraped images will be in the /src/images folder, while the cropped images (character faces) will be in the /src/cropped folder.