datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Thalia
Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
Paper | GitHub | Interactive Demo (Colab)
Thalia is a global, multi-modal dataset for volcanic activity monitoring through Satellite-based Interferometric Synthetic Aperture Radar (InSAR) imagery. Building upon the Hephaestus dataset, Thalia provides higher-resolution, multi-source, and multi-temporal data in a machine-learning-ready format.
Dataset Overview
Thalia consists of 38 spatiotemporal… See the full description on the dataset page: https://huggingface.co/datasets/orion-ai-lab/Thalia.atomagined
Atomagined Dataset (WebDataset)
Simulated atomic-resolution HAADF-STEM images from the atomagined dataset. Each image is a 256x256 simulation of a unique ICSD crystal structure prototype viewed along a specific crystallographic direction, with various post-processing distortion conditions applied.
Dataset Description
This is a WebDataset conversion of the atomagined proxy dataset (subset available via GitHub). The full dataset (~67,871 images) is hosted on the Materials… See the full description on the dataset page: https://huggingface.co/datasets/Stemson-AI/atomagined.ai-check-20m-plus
AI Check Dataset Plus (20M)
This is the webdataset subset dataset for AI checking.
Images here are resized to min(width, height) <= 640.
How to Use It
from datasets import load_dataset
dataset = load_dataset('deepghs/ai-check-20m-plus')
print(dataset["train"][0])
Images
20000000 images in total.
Split
Image Count
Total Size
train
18823238
981 GB
test
594988
31 GB
val
581774
30.4 GB
Class
Image Count
Total Size
ai
9977437
555 GB… See the full description on the dataset page: https://huggingface.co/datasets/just-a-try/ai-check-20m-plus.