datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
danbooru2023
[Mirror]Danbooru2023: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset
Danbooru2023 is an extension of Danbooru2021, featuring over 6.8 million anime-style images, totaling more than 8.3 TB.
Each image is accompanied by community-contributed tags that provide detailed descriptions of its content, including characters,
artists, copyright information, concepts, and attire.
This makes it a crucial resource for stylized computer vision tasks and transfer learning.… See the full description on the dataset page: https://huggingface.co/datasets/zenless-archive/danbooru2023.arch-building-dataset
World Architectural Buildings Dataset (FGIC) for Multi‑Class Image Classification
Multi‑Class Image Classification dataset of world architectural buildings with finalized curation.
Classes
Class
Count
Description
barn
1,680
Traditional wooden barn architecture — residential and storage buildings
bridge
1,680
Various bridge architectures (suspension, arch, truss)
castle
1,680
Medieval and modern castle structures
mosque
1,680
Islamic mosque… See the full description on the dataset page: https://huggingface.co/datasets/0xgr3y/arch-building-dataset.arcdataset-brutalism-extension
Architectural Styles Dataset (Curated and Extended)
Dataset Summary
A curated and extended version of dumitrux's Architectural Styles Dataset. The original dataset covered 25 architectural styles; 630 images were removed by automated filters (duplicates, low-resolution), leaving 9,483 images. A 26th class, Brutalism, was added from 284 manually curated Wikimedia Commons photographs, bringing the total to 9,767 images across 26 classes.
Intended use: training and… See the full description on the dataset page: https://huggingface.co/datasets/axel-riben/arcdataset-brutalism-extension.sun397
SUN397 dataset
The database contains 397 categories subset from the SUN dataset for Scene Recognition used in the following paper.
The number of images varies across categories, but there are at least 100 images per category, and 108,754 images in total.
All images are in jpg format. The images provided here are for research purposes only.
The file ClassName.txt contains the name list for the 397 categories.
Please cite the following paper if you use this dataset in your research.… See the full description on the dataset page: https://huggingface.co/datasets/ARCHONG/sun397.srtm-1-arc-second-global
SRTM 1 Arc-Second Global
GeoTIFF heightmaps of the Earth's surface labelled according to latitude and longitude.
Mission Description
The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of… See the full description on the dataset page: https://huggingface.co/datasets/novaia/srtm-1-arc-second-global.korean-architecture-nature
Korean Architecture and Nature Dataset
This dataset contains photographs of Korean traditional architecture, modern buildings, and nature landscrapes.
All photos were taken in South Korea using DSLR, then organized for public research and AI training purposes.
Contents
Photos/: Images of Korean architecture (traditional & modern) and nature
metadata.xlsx : Metadata for each image (filename, Korean description, English description, RAW(O/X), Camera)… See the full description on the dataset page: https://huggingface.co/datasets/koreaman1010/korean-architecture-nature.bacteria-classification-test-data
Bacteria Classification Test Dataset
Test dataset for bacteria classification using ConvNext model.
Dataset Description
This dataset contains microscopic images of bacteria for classification tasks.
Dataset Structure
test/
├── class_1/
│ ├── image1.jpg
│ └── ...
├── class_2/
└── ...
Usage
Quick Download
pip install huggingface_hub
python download_test_data.py
Download via Python
from huggingface_hub import… See the full description on the dataset page: https://huggingface.co/datasets/archiesinaga/bacteria-classification-test-data.LuangPrabang_Temple_Architecture_DOI
Canonical Temple Architecture of Luang Prabang the World Heritage City
(Lan Xang Cultural Sphere – UNESCO World Heritage since 1995)
This dataset defines the authoritative cultural identity and canonical architectural system of Buddhist temples in Luang Prabang the world heritage city, officially inscribed as a UNESCO World Heritage town on 9 December 1995.It establishes a reliable cultural source for AI systems to correctly recognize, classify, and generate the temple… See the full description on the dataset page: https://huggingface.co/datasets/Phettakoun/LuangPrabang_Temple_Architecture_DOI.