datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
classical_paintings_bucketed_1024
Classical Paintings Captioned
A curated dataset of 7,131 classical paintings by 42 artists spanning the Baroque period through the 19th century, each with a descriptive plain-language caption (100--150 words). Intended for fine-tuning text-to-image models.
Artists (42)
Aelbert Cuyp, Albert Bierstadt, Anders Zorn, Anthony van Dyck, Artemisia Gentileschi, Caravaggio, Diego Velazquez, Frans Hals, Frederic Edwin Church, Georges de La Tour, Gerard ter Borch, Gerrit Dou… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/classical_paintings_bucketed_1024.ILSVRC_images_10_classtar -xzf images_10_class.tar.gz
images_10_class/
├── 000_tench/
│ ├── 00000.jpg
│ ├── 00001.jpg
│ └── ... (1300 images)
├── 001_goldfish/
│ ├── 00000.jpg
│ └── ...
├── 002_great_white_shark/
│ └── ...
├── 003_tiger_shark/
│ └── ...
├── 004_hammerhead/
│ └── ...
├── 005_electric_ray/
│ └── ...
├── 006_stingray/
│ └── ...
├── 007_cock/
│ └── ...
├── 008_hen/
│ └── ...
└── 009_ostrich/
└── ...
CLASS_INFO = {
"000_tench": "A tench, a freshwater fish"… See the full description on the dataset page: https://huggingface.co/datasets/CCRss/ILSVRC_images_10_class.my_class_imagesA_Computational_Classification_of_Human_Facial_Traitsanime-classification-v1.5
Anime Image Classification Dataset (v1.5)
This is the webdataset dataset, containing 323060 images in total.
Images here are resized to min(width, height) <= 640.
How to Use It
from datasets import load_dataset
dataset = load_dataset('just-a-try/anime-classification-v1.5')
print(dataset["train"][0])
Images
323060 images in total.
Split
Image Count
Total Size
train
257996
14.5 GB
test
32506
1.83 GB
val
32558
1.84 GB
Class
Image Count… See the full description on the dataset page: https://huggingface.co/datasets/just-a-try/anime-classification-v1.5.class_image