Simuletic/CCTV-Smoke-Fire-Emergency-Detection-Dataset

CCTV Smoke & Fire Emergency Detection Dataset (free sample)

A free sample of 240 synthetic CCTV images of small, early-stage fires in public places, with YOLO bounding boxes for fire and smoke, for training and testing fire detection and smoke detection models on security-camera footage. The scenes show fires in their first moments, such as a burning bin or a small paper fire on a pavement, not large building or forest fires. Made by Simuletic, which builds synthetic CCTV datasets for computer vision.

Full dataset and licence: simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset

	Free sample (this page)	Full dataset
Images	240 PNG, 1,024 × 1,024 px (120 fire, 120 smoke scenes)	2,500
Classes	fire, smoke	fire, smoke
Labels	YOLO .txt + data.yaml	YOLO
Camera view	high-angle street CCTV, 3–6 m (10–20 ft) mounting height	50+ urban and industrial scenarios
Licence	CC BY-NC 4.0	one-time licence: research $149 / commercial $590 per 1,000 images

What's in the images

Small fires in public places, seen from street CCTV mounted 3–6 m (10–20 ft) high. Most fire datasets show large forest fires or burning buildings. These images show the first stage of a fire, when it is still small and easy to put out:

• Bin fires: flames and smoke rising from public or industrial waste containers
• Ground fires: burning paper, cardboard or debris on asphalt and concrete
• Vegetation smoke: small spot fires and smouldering cigarettes in grass and parks

Settings include alleys, bus stops, plazas, courtyards and the outside of commercial buildings. Fires and smoke are often small in the frame, and the images have typical CCTV distortion, compression artefacts and low-light noise. Half of the 240 images are fire scenes and half smoke scenes, from 48 scene setups with five images each.

Classes and boxes

Class	YOLO id	What it marks	Boxes in sample
fire	0	visible flames	121
smoke	1	smoke plumes and wisps	141

Flames are boxed in 119 images and smoke in 141.

Folder layout

CCTV_Fire_Smoke_Emergency_Detection_Dataset/
  images/      # 240 PNG images (fire_detected_var10_img1.png, smoke_detected_var1_img1.png, ...)
  labels/      # 239 YOLO .txt files, same file names as the images
  data.yaml    # class names: 0 fire, 1 smoke

Each YOLO label line is class_id x_center y_center width height, normalised to 0–1. A fire box (fire_detected_var10_img1.txt) and a smoke box (smoke_detected_var1_img1.txt):

0 0.512376 0.681931 0.091584 0.121287
1 0.307550 0.517327 0.496287 0.534653

Quick start (Ultralytics YOLO)

Create a data.yaml next to the CCTV_Fire_Smoke_Emergency_Detection_Dataset/ folder:

path: CCTV_Fire_Smoke_Emergency_Detection_Dataset
train: images
val: images   # small sample: use the same images, or split them yourself
names:
  0: fire
  1: smoke

Then train:

from ultralytics import YOLO

model = YOLO("yolo11n.pt")
model.train(data="data.yaml", epochs=30, imgsz=640)

Use cases

• Early fire and smoke alerts on city, campus and transport CCTV
• Fire safety at warehouses, loading docks and other facilities, including smoking in no-smoking zones
• Early-warning systems that flag a fire before it spreads
• Monitoring public infrastructure such as bus stops, plazas and alleys

How the images were made

The images are fully synthetic (computer-generated) by Simuletic: no real people, places or incidents are depicted, so there are no privacy or consent issues.

Limitations. Synthetic images do not cover every camera, lens, compression artefact or scene you will meet in deployment. Validate on your own footage, and for production combine synthetic and real data. This sample has 240 images from 48 scene setups; the full dataset has 2,500 images from 50+ urban and industrial scenarios.

Full dataset and custom data

The full CCTV Smoke & Fire Emergency Detection Dataset has 2,500 images, YOLO, classes fire, smoke. Licence: research $149 / commercial $590 per 1,000 images. Larger sets, other scenes, camera angles or classes: see custom data or write to contact@simuletic.com.

This free sample is also on Kaggle.

More synthetic datasets from Simuletic

• Long-Distance Wildfire & Smoke Detection Dataset
• CCTV Fall & Incident Detection Dataset
• CCTV Aggressive Pose & Fight Detection Dataset
• All datasets: simuletic.com/datasets · Hugging Face · Kaggle · GitHub

Licence

This free sample is licensed under CC BY-NC 4.0: you may share and adapt it for non-commercial purposes, as long as you credit Simuletic. The full dataset is sold under a separate one-time research or commercial licence.

Citation

@misc{simuletic_smoke_fire_2026,
  author       = {{Simuletic}},
  title        = {CCTV Smoke & Fire Emergency Detection Dataset},
  year         = {2026},
  publisher    = {Simuletic},
  howpublished = {\url{https://huggingface.co/datasets/Simuletic/CCTV-Smoke-Fire-Emergency-Detection-Dataset}},
  note         = {Free sample. Full dataset: \url{https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset}}
}

Questions or feedback: contact@simuletic.com