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# Dataset Card for anime-faces
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** https://www.kaggle.com/soumikrakshit/anime-faces
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- **Repository:** https://github.com/nagadomi/lbpcascade_animeface
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- **Paper:** [Needs More Information]
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** https://github.com/Mckinsey666
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### Dataset Summary
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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.
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Some outliers are still present in the dataset:
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Bad cropping results
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Some non-human faces.
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Feel free to contribute to this dataset by adding images of similar quality or adding image labels.
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## Dataset Structure
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### Data Instances
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64x64 RGB Images.
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### Data Fields
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Has a data folder with .png files inside.
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### Data Splits
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Only training set
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## Dataset Creation
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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[Needs More Information]
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### Licensing Information
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[Needs More Information]
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### Citation Information
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[Needs More Information]
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source_datasets:
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- original
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task_categories:
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- image-classification
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task_ids: []
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---
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license: apache-2.0
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library_name: keras
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tags:
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- dcgan
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datasets:
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- anime-faces
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---
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## Model description
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Anime face discriminator model using [TensorFlow DCGAN example](https://www.tensorflow.org/tutorials/generative/dcgan).
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## Training and evaluation data
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Model is trained on [anime faces dataset](https://huggingface.co/datasets/merve/anime-faces).
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## Intended use and biases
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This model is not intended for production.
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