Anime Dataset

Minimum width 512px cropped from Danbooru2019 using the AniSeg anime character detection model. Welcome to Anime Characters Database.

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Shows like Once Piece have been on the air for quite a while but comparatively lesser people scored it.

Anime dataset. Rank is in float format in csv but it contains. Death Note at the top again. Each user is able to add anime to their completed list and give it a rating and this data set is a compilation of those ratings.

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. Consider the dataset that were working with ie. The images are cropped to focus on a single characters entire visible body extending portrait crops to figure crops.

The dataset contains 3 files. However few outliers are still present in the dataset. There are two associated datasets rating dataset and anime dataset.

Are there any popular anime that didnt score high and vice. The graph clearly shows that the anime series that have the highest ratings tend to be the most popular. I will be using the Anime Recommendations Database dataset which is available on.

Per each record here is username anime ID score status and timestamp when was this record last updated. For the anime dataset we have firstly retrieved 69926 animation character images from Anime-Planet1. The anime dataset consists of information about each anime with 7 columns anime_id name genre type episodes rating and members.

It can be useful for machine learning purposes such as image recognition and generation. Download images from the Internet and process them. The size of the training dataset is 3400 and that of the test dataset is 100 with the image size of 256 x 256.

Animescsv contains list of anime with title title synonyms genre duration rank populatiry score airing date episodes and many other important data about individual anime providing sufficient information about trends in time about important aspects of anime. Deep learning for computer revision relies on large annotated datasets. Danbooru2020 is a large-scale anime image database with 42m images annotated with 130m tags.

Photo by Roman Denisenko on Unsplash. I would assume that Anime like Death Note Attack on Titan and Sword Art Online have a really loyal fan base who went to the website and scored for them. Stay informed on the latest trending ML papers with code research developments libraries methods and datasets.

302 573 of them with some demographic data. Then an anime can be represented in the vector space of 5-Dimensions each dimension being one of the above. A dataset for 2D pose estimation of animemanga images.

A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset. Lets say every anime consists of 5 components romance comedy slice of life harem and action. UserAnimeListcsv contains anime lists of all users.

This dataset is often used for varying projects with anime faces. 302 675 unique users. I will keep this dataset up-to-date and clean along with including fun scripts for generating anime waifus.

The selfie dataset contains 46836 selfie images annotated with 36 different attributes. Anime Drawings Dataset. This data set contains information on user preference data from 73516 users on 12294 anime.

80 076 112 records in anime. Lets now take a look at Popularity vs Score. The focus of this post is to give you an idea of how we can explore data using graphs and gain valuable insights from the same.

We index anime subtitles to offer you a fun way to learn Japanese. The Danbooru2019 Figures dataset is a large-scale character anime illustration dataset of n 855880 images 248GB. Aug 30 2020 17 min read.

A dataset for 2D pose estimation of animemanga images. However few outliers are still present in the dataset. Correlation coefficient of the anime dataset.

The dataset as a whole contains. 1- 10 from 73516 users on 12294 anime with a density of 092. We index characters by eye color hair color hair length age gender and animal ears.

The visual search engine for all animated characters. The rating dataset contains 7813737 Ratings Rating scale. This shows that the ratings have a negatively strong correlation with the popularity of the anime.

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. We only use photos of females as training data and test data. This dataset has 63632 high-quality anime faces but lets be real all anime girls are high-quality.

Name - full name of anime. Using the correlation coefficient table the graph has a correlation coefficient of -085. This repository contains code to.

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