datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Kuro-Siwo-Webdataset
Kuro Siwo webdatasets
Paper | GitHub |
Dataset Details
Dataset Description
Kuro Siwo is a global multi-temporal SAR dataset for rapid flood mapping. It contains 43 flood events in 6 continents and 3 climate zones, over the period 2015-2022. The annotations have been produced through meticulous photointerpretation by a team of experts, at 10m spatial resolution. For each flood event, we provide one Sentinel-1 post-flood and two Sentinel-1 pre-flood… See the full description on the dataset page: https://huggingface.co/datasets/orion-ai-lab/Kuro-Siwo-Webdataset.Kuro-Siwo-GeoTIFFs
Kuro Siwo GeoTIFFs
Paper | GitHub |
Dataset Details
Dataset Description
Kuro Siwo is a global multi-temporal SAR dataset for rapid flood mapping. It contains 43 flood events in 6 continents and 3 climate zones, over the period 2015-2022. The annotations have been produced through meticulous photointerpretation by a team of experts, at 10m spatial resolution. For each flood event, we provide one Sentinel-1 post-flood and two Sentinel-1 pre-flood… See the full description on the dataset page: https://huggingface.co/datasets/orion-ai-lab/Kuro-Siwo-GeoTIFFs.tibetan-page-orientation-classifier-dataset
Tibetan Page Orientation Dataset
Covers 7 Tibetan script families: Danyig, Druma, Gyuyig, Multi-Scripts, Pedri, Tsugdri, Uchen.
Dataset composition
Each manuscript page appears twice: once as the original scan (non_flipped) and once rotated 180° (flipped). The model's task is to distinguish these two orientations.
Scripts are balanced — each of the 7 script families contributes the same number of pages (downsampled to the smallest family).
Script (script)… See the full description on the dataset page: https://huggingface.co/datasets/BDRC/tibetan-page-orientation-classifier-dataset.PlantVillage-Original
مجموعة بيانات PlantVillage (الصور الملونة الأصلية)
📌 نبذة تعريفيّة عن المستودع
يحتوي هذا المستودع على الصور الملونة الأصلية والمصنفة بعناية من مجموعة بيانات PlantVillage العالمية، والتي تم تخصيصها لتكون النواة الأساسية لتدريب نماذج الذكاء الاصطناعي في مشروع التخرج: "الخبير الزراعي اليمني الذكي".
يهدف هذا المشروع إلى توفير نظام خبير يعمل دون اتصال بالإنترنت (Offline) لتشخيص أمراض وآفات المحاصيل الاستراتيجية (مثل الطماطم والبطاطس وغيرها) لمساعدة المزارعين في… See the full description on the dataset page: https://huggingface.co/datasets/Omarrs11/PlantVillage-Original.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.quickdraw-mnist
QuickDraw-MNIST
QuickDraw-MNIST is a 20-class sketch-recognition dataset prepared for Texas A&M's CSCE 624 (Sketch Recognition) class.
The data is sourced from Google's Quick, Draw! dataset.
Dataset Structure
Number of images: 100,000
Number of classes: 20
Images: 64 x 64 grayscale
Labels: integer class ids with a human-readable label_name column
Classes: The Eiffel Tower, airplane, angel, bed, chair, clock, diamond, donut, fork, frog, hourglass, leaf, line, mushroom… See the full description on the dataset page: https://huggingface.co/datasets/oriyonay/quickdraw-mnist.2026-24679-HW1-Multimodal-Original
Straight-member torque: image and structured statics data
eandujar/2026-24679-HW1-Multimodal-Original
100 synthetic planar-statics cases containing a rendered diagram and
structured numerical/categorical features describing the member geometry,
supports, and applied loads.
The prediction task has two outputs:
Torque direction — clockwise or counterclockwise.
Torque magnitude — absolute moment about the pin in N m.
This therefore supports both classification and regression… See the full description on the dataset page: https://huggingface.co/datasets/eandujar/2026-24679-HW1-Multimodal-Original.fashion-lookmatch-dataset
👔 Fashion LookMatch Synthetic Dataset
Overview
This dataset contains 1,000 synthetic fashion images generated using Stable Diffusion XL (SDXL).
It was created as part of the "Build Your Own AI Application" final project.
The dataset is designed for building a Visual Retrieval & Outfit Recommendation System.
📊 Exploratory Data Analysis (EDA)
To ensure the quality and balance of the dataset, we performed a rigorous EDA.
1. Category Balance
We ensured… See the full description on the dataset page: https://huggingface.co/datasets/orianrivlin/fashion-lookmatch-dataset.orislop-youtube-prepared-v2
Orislop YouTube prepared v2
This public research dataset contains compact NPZ v2 samples inside uncompressed
WebDataset tar shards. It has 29510 prepared samples from
8698 source videos; 57 sources were
recorded as terminal skips.
Label warning
The real and fake values are trusted scraper assumptions, not independently
verified ground truth. Pre-2021 videos are proxy-real and creator-disclosed altered
videos are proxy-fake. Do not report model agreement as… See the full description on the dataset page: https://huggingface.co/datasets/gonnerthetooner/orislop-youtube-prepared-v2.orion-dataset
Dataset
The ORION dataset is a curated collection of satellite imagery and triage labels used to fine-tune the VLM for orbital image classification. Images are fetched from SimSat's Mapbox API and paired with classification prompts and ground-truth labels.
Dataset Structure
images/
low_ocean_pacific_nemo.png
med_city_chicago.png
high_port_rotterdam.png
...
train_dataset.jsonl
val_dataset.jsonl
test_dataset.jsonl
images/: 512x512 RGB satellite images fetched from… See the full description on the dataset page: https://huggingface.co/datasets/Saransh-cpp/orion-dataset.coffee_rocole_original_patches
Dataset Card for coffee_rocole_original_patches
This is a FiftyOne dataset with 700 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/coffee_rocole_original_patches")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/coffee_rocole_original_patches.