datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image-aesthetic-scores
Rule34.nexus · Licence: Rule34.nexus Derived Dataset Licence 1.0
Rule34.nexus Image Aesthetic Scores
1. Overview
This dataset contains per-image aesthetic predictions for images in the Rule34.nexus corpus.
Predictions were generated using
discus0434/aesthetic-predictor-v2-5. Source images are not
included in this dataset — only opaque post identifiers, the source image's SHA-256 hash,
the post's content type, and the predicted score.… See the full description on the dataset page: https://huggingface.co/datasets/rule34nexus/image-aesthetic-scores.aesthetic-corpus
InspiredHub Aesthetic Corpus — Open Layer
A structured dataset of 81,911 artworks, 11,568 books, 220 composers, and 146 philosophy pages from the world's major museums and archives.
Overview
Collection
Items
Description
Artworks
81,911
Paintings, calligraphy, sculpture, ceramics from 15+ museums
Books
11,568
Classic literature, philosophy, poetry (840 philosophy texts)
Composers
220
Classical composers with works catalog
Philosophy Pages
146… See the full description on the dataset page: https://huggingface.co/datasets/InspiredHub/aesthetic-corpus.aesthetic_anime_curated_8.5kThis ~8.5k dataset is a curated selection of posts with more than 2,000 likes on pixiv between 2024/07/01 and 2024-09/25.
Collection date: 2024-09-29
Tags collected: '女の子', 'users入り', '女の子', 'ふともも', '太もも', '魅惑の太もも', '魅惑のふともも', 'へそ', 'おへそ', 'おっぱい', '魅惑の谷間', '極上の乳', '巨乳', '着衣巨乳', '崩壊:スターレイル', 'ブルーアーカイブ', 'バーチャルYouTuber', '原神
Tags excluded: '3DCG','筋肉娘','男の娘','女装男子','腐向け','BL','Koikatsu','Koikatsu!','コイカツ','コイカツ!','ふたなり','メス男子', 'むちむち','ムチムチ', 'ぽっちゃり', '熟女','AI','AI生成','AI-generated','AIイラスト'… See the full description on the dataset page: https://huggingface.co/datasets/sdtana/aesthetic_anime_curated_8.5k.water_glassbottle_aesthetics_rated
Dataset Card for Dataset Name
This dataset holds 121 images of glass bottles for drinking water. The aesthetics were rated by five participants from Germany across different demographics.