datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Aesthetic-4K
Aesthetic-4K Dataset
We introduce Aesthetic-4K, a high-quality dataset for ultra-high-resolution image generation, featuring carefully selected images and captions generated by GPT-4o.
Additionally, we have meticulously filtered out low-quality images through manual inspection, excluding those with motion blur, focus issues, or mismatched text prompts.
For more details, please refer to our paper:
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models (CVPR… See the full description on the dataset page: https://huggingface.co/datasets/zhang0jhon/Aesthetic-4K.grayscale_image_aesthetic_3M
Dataset Card for "grayscale_image_aesthetic_3M"
More Information needed
highresolution-laioncoco-aesthetic-MEGThis dataset is filtered from laioncoco-aesthetic, which is used for academic research on mobile edge generation (MEG).
It includes high-resolution 1024-by-1024 text-to-image samples generated by a distilled SDXL with 4-12 denoising steps.
The dataset mainly involves the following fields:
caption: The text prompt of the image.
image: The target image corresponding to the prompt.
diffusion: The generative results of the distilled SDXL.
latents: The latent features of the distilled SDXL.
LAION_Aesthetics_1024LAION_Aesthetics_512laion_improved_aesthetics_6.5plus_with_imagesAesthetic-Train-V2
Aesthetic-Train-V2 Dataset
We introduce Aesthetic-Train-V2, a high-quality traing set for ultra-high-resolution image generation.
For more details, please refer to our paper:
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models (CVPR 2025)
Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation
Source code is available at https://github.com/zhang0jhon/diffusion-4k.
Citation
If you find our paper or dataset is helpful in your… See the full description on the dataset page: https://huggingface.co/datasets/zhang0jhon/Aesthetic-Train-V2.OpenNiji-Dataset-Aesthetic-Finetune-0-15K
Dataset Card for "OpenNiji-Dataset-Aesthetic-Finetune-0-15K"
More Information needed
lunara-aesthetic-image-variations
Dataset Card for Moonworks Lunara Aesthetic II
This dataset introduces the second open-source release by Moonworks. This dataset contains original image and art created by Moonworks and their contextual variations generated by Moonworks Lunara, a sub-10B parameter model with a novel diffusion mixture architecture.
Paper: https://arxiv.org/pdf/2602.01666
While part 1 is intended for learning and evaluating regional as well as region-agnostic art styles, part 2 is intended for… See the full description on the dataset page: https://huggingface.co/datasets/moonworks/lunara-aesthetic-image-variations.Laion-Aesthetics-High-Resolution-GoT
Laion-Aesthetics-High-Resolution-GoT
Paper
Dataset Description
The Laion-Aesthetics-High-Resolution-GoT dataset is a collection of 3.77 million image-text pairs with rich grounding annotations. This dataset extends high-quality images from the LAION-Aesthetics collection with detailed text descriptions and object-level grounding information.
Key Features
Size: 3.77 million samples
Modalities: Image, Text, and Grounding Annotations
Image Resolution:… See the full description on the dataset page: https://huggingface.co/datasets/LucasFang/Laion-Aesthetics-High-Resolution-GoT.lunara-aesthetic
Dataset Card for Moonworks Lunara Aesthetic Dataset
Sample Images
Dataset Summary
paper: https://arxiv.org/abs/2601.07941
The Lunara Aesthetic Dataset is a curated collection of 2,000 high-quality image–prompt pairs designed for controlled research on prompt grounding, style conditioning, and aesthetic alignment in text-to-image generation.
All images are generated using the Moonworks Lunara, a sub-10B parameter… See the full description on the dataset page: https://huggingface.co/datasets/moonworks/lunara-aesthetic.Laion_aesthetics_5plus_1024_33Mlaplacian_image_aesthetic_3M
Dataset Card for "laplacian_image_aesthetic_3M"
More Information needed
AVA-aesthetics-10pct-min50-10bins
AVA Aesthetics 10% Subset (min50, 10 bins)
This dataset is a curated 10% subset of the AVA Aesthetics Dataset (or the original AVA dataset as described in Murray et al., 2012). It includes images that have at least 50 total votes and have been stratified into 10 bins based on their computed mean aesthetic scores.
Dataset Overview
Dataset Name: AVA Aesthetics 10% Subset (min50, 10 bins)
Subset Size: 10% of the original AVA dataset (after filtering for a minimum of 50… See the full description on the dataset page: https://huggingface.co/datasets/trojblue/AVA-aesthetics-10pct-min50-10bins.laion2B-en-aestheticlaion2B-en-aesthetic-seed
Dataset Card for "laion2B-en-aesthetic-seed"
More Information needed
improved_aesthetics_4.5plus-ultra-hrversion https://git-lfs.github.com/spec/v1
oid sha256:98b45ea81164d1e1a1dd82255207053b15cd6c69d922a1c5cf3387ce604d4b74
size 28
lunara-aesthetic
Dataset Card for Moonworks Lunara Aesthetic Dataset
Sample Images
Dataset Summary
paper: https://arxiv.org/abs/2601.07941
The Lunara Aesthetic Dataset is a curated collection of 2,000 high-quality image–prompt pairs designed for controlled research on prompt grounding, style conditioning, and aesthetic alignment in text-to-image generation.
All images are generated using the Moonworks Lunara, a sub-10B… See the full description on the dataset page: https://huggingface.co/datasets/rico2512/lunara-aesthetic.laion-aesthetics-12m-umap
LAION-Aesthetics :: CLIP → UMAP
This dataset is a CLIP (text) → UMAP embedding of the LAION-Aesthetics dataset - specifically the improved_aesthetics_6plus version, which filters the full dataset to images with scores of > 6 under the "aesthetic" filtering model.
Thanks LAION for this amazing corpus!
The dataset here includes coordinates for 3x separate UMAP fits using different values for the n_neighbors parameter - 10, 30, and 60 - which are broken out as separate columns with… See the full description on the dataset page: https://huggingface.co/datasets/dclure/laion-aesthetics-12m-umap.aesthetics_v2_4.75laion-coco-aesthetic
LAION COCO with aesthetic score and watermark score
This dataset contains 10% samples of the LAION-COCO dataset filtered by some text rules (remove url, special tokens, etc.), and image rules (image size > 384x384, aesthetic score>4.75 and watermark probability<0.5). There are total 8,563,753 data instances in this dataset. And the corresponding aesthetic score and watermark score are also included.
Noted: watermark score in the table means the probability of the existence of… See the full description on the dataset page: https://huggingface.co/datasets/guangyil/laion-coco-aesthetic.lunara-aesthetic
Dataset Card for Moonworks Lunara Aesthetic Dataset
Sample Images
Dataset Summary
paper: https://arxiv.org/abs/2601.07941
The Lunara Aesthetic Dataset is a curated collection of 2,000 high-quality image–prompt pairs designed for controlled research on prompt grounding, style conditioning, and aesthetic alignment in text-to-image generation.
All images are generated using the Moonworks Lunara, a sub-10B… See the full description on the dataset page: https://huggingface.co/datasets/dowangoo/lunara-aesthetic.aesthetic_6klaion_aesthetics_sketchimage-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_photos_xs
aesthetic_photos_xs
1k manually selected photos from unsplash
captioned with BLIP model large caption && SmilingWolf/wd-v1-4-convnext-tagger-v2
repositories
https://github.com/recoilme/unsplash_dwn
https://github.com/kohya-ss/sd-scripts
More Information needed
improved_aesthetics_6.5plussoa-aestheticThis dataset is a shuffled list of downloadable CC0 image titles and URLs from Smithsonian Open Access, filtered down to ~100k visually-interesting images.
This dataset only contains metadata; a tool like https://github.com/rom1504/img2dataset can be used to download the actual images:
img2dataset --url_list data --output_folder data_files \
--input_format "parquet" --output_format files \
--caption_col "text" --url_col "url" \
--image_size 256 --min_image_size 128 --resize_mode… See the full description on the dataset page: https://huggingface.co/datasets/madebyollin/soa-aesthetic.Visual-Aesthetic-Benchmark
🍎 Visual Aesthetic Benchmark
Visual Aesthetic Benchmark is a large-scale benchmark that evaluates frontier AI models on artist-curated artworks across fine art, photography, and illustration, comparing model judgments against domain-expert evaluations across 400 pairwise comparisons.
13K+ Expert Judgments | 20+ Frontier Models | 2,000+ Hrs Commissioned | 26.5% Highest Performance
🌐 Project Website - Learn more about Visual Aesthetic Benchmark
📖 Technical Report - Discover… See the full description on the dataset page: https://huggingface.co/datasets/BakeLab/Visual-Aesthetic-Benchmark.grayscale_image_aesthetic_10k
Dataset Card for "grayscale_image_aesthetic_10k"
More Information needed