datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IRRISIGHT
IRRISIGHT
IRRISIGHT is a large-scale multimodal dataset to address water availability problems in agriculture. It is designed to support supervised and semi-supervised learning tasks related to agricultural water use monitoring.
Due to the space constraints, we uploaded the files across multiple repositories as follows:
To download Pennsylvania and Maryland, use the current repository (OBH30/IRRISIGHT).
To download Arizona, Arkansas, Florida, Georgia, New Jersey, North Carolina… See the full description on the dataset page: https://huggingface.co/datasets/OBH30/IRRISIGHT.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.CDDB
Dataset Card for CDDB
Dataset Description
CDDB is a benchmark dataset introduced in the WACV 2023 paper A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials.
It is designed for continual deepfake detection, where manipulated images from different deepfake generation sources arrive sequentially instead of being observed all at once.
The benchmark is intended to evaluate both:
binary deepfake detection (real vs. fake)
continual and incremental… See the full description on the dataset page: https://huggingface.co/datasets/onar00001/CDDB.OpenSeed-LZU
OopenSeed-LZU
This is the dataset of OpenSeed project created by HuLab-LZU
Structure
├── data
│ ├── cls_train_656_rgb.json # classification training set
│ ├── cls_val_656_rgb.json ## vlidation set
│ ├── cls_test_656_rgb.json # testing set
│ ├── images # images without background
│ └── images_with_bg # images with background
Citation
TODO