fire-detection
CCTV-Smoke-Fire-Emergency-Detection-Dataset
CCTV Smoke & Fire Emergency Detection Dataset
Early-stage fire detection dataset featuring small ignition points, bin fires, and smoldering debris from a surveillance perspective.
🧐 Overview
CCTV Smoke & Fire is a specialized open-source synthetic dataset for Computer Vision (CV) tasks focused on Emergency Response, Smart City Safety, and Incident Monitoring.
The most critical fires are the ones detected in their first 60 seconds. While most fire datasets… See the full description on the dataset page: https://huggingface.co/datasets/Simuletic/CCTV-Smoke-Fire-Emergency-Detection-Dataset.fire-smoke-detection-corpus-v1
FireViewer Fire/Smoke Detection Corpus v1
Status
Active strict-clean detection corpus. Current catalogue state: 102,257 rows, split 60,981 train / 19,209 validation / 22,067 test.
The corpus stores source-specific provenance, hashes, grouping/de-duplication information, validation status and annotation metadata. It is the current training reference for the strict FireViewer detector releases.
Rights
There is no single licence covering all source… See the full description on the dataset page: https://huggingface.co/datasets/fireviewer/fire-smoke-detection-corpus-v1.FireDetectionDataset-flame-forest-flameye-wildfire
FlamEye — Wildfire Detection Dataset
A merged, deduplicated, and augmented dataset for real-time wildfire detection (fire and smoke) from CCTV/surveillance cameras. Built to train YOLOv8m for early-stage fire detection.
Classes
ID
Name
0
fire
1
smoke
Dataset Statistics
Split
Images
Train
~10,929
Validation
~3,000
Test
~1,500
Sources
Dataset
Source
Notes
D-Fire
Kaggle
Class IDs remapped:… See the full description on the dataset page: https://huggingface.co/datasets/baizhanquan/FireDetectionDataset-flame-forest-flameye-wildfire.deep-learning-fire-detection-datasetfire-smoke-detectionfog_fire_detection
Fire & Smoke Detection Dataset (40K Images)
A large-scale, annotated object detection dataset containing over 40,900 images dedicated to early fire and smoke detection. Designed for training real-time vision models such as YOLO (Ultralytics), RT-DETR, and Vision Transformers.
Dataset Summary
Total Images: ~40,900 images
Task: Object Detection (object-detection)
Bounding Box Format: YOLO format (class_id x_center y_center width height) / COCO format
Target… See the full description on the dataset page: https://huggingface.co/datasets/jojomoi-meme/fog_fire_detection.