datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
japanese-aerial-fireworks-v2
🎆 NEW: Curated 1,000 Wide Pack (Commercial License)
For commercial AI/ML training, check out the Hanabi AI Dataset v1: Wide Pack — Curated 1,000 — a carefully selected subset with detailed structured annotations:
✅ 1,000 hand-curated 4K images (vs 2,557 raw images here)
✅ Structured AI annotations (composition, mood, color, EXIF, English notes)
✅ Sample PyTorch loader, attribute filter, caption generator
✅ Perpetual Commercial License (Japanese law)
✅ Optimized for Stable… See the full description on the dataset page: https://huggingface.co/datasets/dfhjs2577/japanese-aerial-fireworks-v2.FireBench
FireBench: A Benchmark Dataset for Fire Science Image Retrieval
Dataset Description
FireBench is a benchmark dataset for evaluating image retrieval systems in the domain of wildfire and fire science. The dataset consists of natural language queries paired with images, along with binary relevance labels indicating whether each image is relevant to the query. The dataset is designed to test retrieval systems' ability to find relevant wildfire-related images based on a… See the full description on the dataset page: https://huggingface.co/datasets/sagecontinuum/FireBench.FireRisk
FireRisk
The FireRisk dataset is a dataset for remote sensing fire risk classification.
Paper: https://arxiv.org/abs/2303.07035
Homepage: https://github.com/CharmonyShen/FireRisk
Description
Total Number of Images: 91872
Bands: 3 (RGB)
Image Size: 320x320
101,878 tree annotations
Image Resolution: 1m
Land Cover Classes: 7
Classes: high, low, moderate, non-burnable, very_high, very_low, water
Source: NAIP Aerial
Usage
To use this dataset, simply… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/FireRisk.forest-fire-dataset
Forest Fire Dataset
Dataset Description
This dataset contains frames extracted from forest fire videos for computer vision and machine learning applications. The dataset is designed for tasks such as fire detection, smoke detection, and wildfire monitoring.
Dataset Structure
The dataset is organized into three splits following standard machine learning practices:
forest-fire-dataset/
├── train/
│ ├── train_00000-08999/
│ ├── train_09000-17999/
│… See the full description on the dataset page: https://huggingface.co/datasets/Bruhtian/forest-fire-dataset.urban-fire-identification
Description
Simplification of Disaster_Classification_Dataset.
Fire-and-Smoke-Dataset
Fire and Smoke Detection Dataset — Sample
⚠️ This is a free sample subset for evaluation purposes only.The full dataset (~10,000+ annotated images, multiple formats) is available for commercial licensing.Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset contains real-world images of fire and smoke scenarios, captured on mobile phones under diverse conditions. It is well-suited for training early fire and smoke detection models used in… See the full description on the dataset page: https://huggingface.co/datasets/Dataclusterlabspvtltd/Fire-and-Smoke-Dataset.fire-hydrants-dataset
Global Fire Hydrants Dataset
The Global Fire Hydrants Dataset is a geotagged dataset of 14.2K fire hydrants from around the world, released by Outerview, a research lab focused on building world models.
At Outerview, our mission is to organize the world’s physical information and make it accessible and usable. This dataset is part of that effort: transforming physical-world infrastructure into structured, machine-readable data for research, modeling, and real-world intelligence.… See the full description on the dataset page: https://huggingface.co/datasets/Outerview/fire-hydrants-dataset.fire_intensityFire-CoT