---
title: "CCTV Smoke & Fire Detection Dataset: 1,000 YOLO/COCO Images"
description: "Smoke and fire detection dataset: 1,000 synthetic CCTV images of early-stage fires plus look-alike negatives, person/smoke/fire boxes in YOLO and COCO."
canonical: https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset
html: https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset
site: Simuletic, https://simuletic.com/llms.txt
---

Fire & smoke

# CCTV Smoke & Fire Emergency Detection Dataset

Synthetic CCTV dataset for early fire and smoke detection: 1,000 images of small fires and smoke plumes in bins, skips and debris piles, plus look-alike hard negatives. Every person, plume and flame is boxed, in YOLO and COCO.

One-time licence · YOLO + COCO labels · instant download

*person · smoke · fire*

**Full set**

1,000 images


**Free sample**

240 images


**Labels**

YOLO + COCO


**Classes**

person, smoke, fire


**Video**

Images only


**Licence**

1,000 images · sign in to see prices


**Larger packs**

5,000–20,000 images: $2,400–$8,500, commercial only


## Free sample

240 labelled images, free to download. The sample has its own open licence; the full dataset is licensed separately.

- Kaggle: [simuletic/cctv-smoke-and-fire-emergency-detection-dataset](https://www.kaggle.com/datasets/simuletic/cctv-smoke-and-fire-emergency-detection-dataset)

- Hugging Face: [Simuletic/CCTV-Smoke-Fire-Emergency-Detection-Dataset](https://huggingface.co/datasets/Simuletic/CCTV-Smoke-Fire-Emergency-Detection-Dataset)

Licence

## One-time licence. No subscription.

Students & research

### Research

Students and non-commercial research. One lab or course.

- 1,000 images, YOLO + COCO labels

- Fixed train / val split

- Dataset card

- Non-commercial licence

One organisation

### Commercial

Train and ship models in a commercial product. One organisation.

- 1,000 images, YOLO + COCO labels

- Train / val split and evaluation clips where included

- Dataset card

- Perpetual commercial licence for trained models

Larger packs

### 5,000–20,000 images

Commercial licence only; the research licence covers 1,000 images. Same labels and split; three sizes, prices in the table below.

### Packs of 5,000, 10,000 and 20,000 images

| Images | Research | Commercial | Order |
| --- | --- | --- | --- |
| 5,000 | Not offered | $2,400 | [Order 5,000](https://simuletic.com/contact?topic=Dataset%20licence&dataset=cctv-smoke-fire-emergency-detection-dataset&size=5000) |
| 10,000 | Not offered | $4,500 | [Order 10,000](https://simuletic.com/contact?topic=Dataset%20licence&dataset=cctv-smoke-fire-emergency-detection-dataset&size=10000) |
| 20,000 | Not offered | $8,500 | [Order 20,000](https://simuletic.com/contact?topic=Dataset%20licence&dataset=cctv-smoke-fire-emergency-detection-dataset&size=20000) |

- Commercial licence only: the research licence covers 1,000 images

- YOLO + COCO labels, fixed train / val split, dataset card

- Hard negatives in the same share as the 1,000-image set

- Masks, pose keypoints or VLM captions where the dataset has them

- Card or invoice; delivered as a download link within five working days

Larger packs are assembled for your order and delivered as a download link within five working days. Prices in USD, excl. VAT, one-time, per dataset.

Prices in USD, excl. VAT, per dataset and one-time. Licence terms in the [terms](https://simuletic.com/terms).

## About this dataset

The fires that matter are the ones caught in their first minutes, while they are still a smoking bin or a burning skip. This synthetic smoke and fire detection dataset shows early-stage fires and smoke in outdoor yards, car parks, industrial estates, depots and refuse sites, seen from real CCTV positions by day, at dusk and at night. About a sixth of the images are hard negatives: steam vents, exhaust vapour, ground fog, mist, dust, floodlights, streetlights, amber beacons and low sun reflections, so your model learns which glows and plumes are not fire. Fire boxes cover the flames, smoke boxes the visible plume, and every person is boxed too, in YOLO and COCO format, with a fixed 900 / 100 train-val split and a dataset card. Each image was checked automatically for object presence, CCTV realism and box placement, and the whole set was visually reviewed. The free open-source sample on Kaggle (240 images) comes from an earlier release.

## What's in the files

- 1,000 images, 900 / 100 train-val split

- Classes person, smoke and fire

- Early-stage fires in bins, skips and debris

- About 16% hard negatives (steam, fog, lights, reflections)

- Day, dusk and night CCTV views

- YOLO and COCO labels, dataset card included

- 100% synthetic: no real people

## Used for

- Facility and yard fire safety

- Smart city emergency response

- Early warning before a fire spreads

- Waste, recycling and logistics sites

Facts and citation

## CCTV Smoke & Fire Emergency Detection: the numbers

Counts from the release's dataset card (version 2026-10-19). Hard negatives are images with none of the target classes present, kept in the set so a detector learns what not to flag.

| Images | 1,000 (900 train / 100 val) |
| --- | --- |
| Hard negatives | 165 images (17%) |
| `person` boxes | 1,032 |
| `smoke` boxes | 834 |
| `fire` boxes | 427 |
| Resolution | mostly 1672×941 (JPEG) |
| Labels | YOLO + COCO |
| Download | ≈668 MB zip: images/, labels/ (train, val), annotations/, README |

### Boxes per class

- `person`1,032

- `smoke`834

- `fire`427

- `hard negatives`165

## How to cite

If you use this dataset in a paper or report, cite the dataset page. Research licences ask for a citation.

```
@misc{simuletic_cctv_smoke_fire_1k,
  title  = {CCTV Smoke & Fire Emergency Detection Dataset},
  author = {Simuletic},
  year   = {2026},
  url    = {https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset},
  note   = {Synthetic dataset. Version 2026-10-19.}
}
```

Questions

## CCTV Smoke & Fire Emergency Detection: common questions

**Does the dataset include steam and fog as hard negatives?**

Yes: about a sixth of the images are hard negatives — steam vents, exhaust vapour, ground fog, mist, dust, floodlights, streetlights, amber beacons and low sun reflections — with no smoke or fire box.

**What exactly is boxed?**

Three classes: fire boxes cover the flames, smoke boxes the visible plume, and every person is boxed as person.

**What kind of fires does it show?**

Early-stage fires and smoke in bins, skips and debris piles at outdoor yards, car parks, industrial estates, depots and refuse sites, by day, at dusk and at night.

**Can I use this dataset commercially?**

Yes, with the commercial licence ($590 for 1,000 images, one-time): one organisation may train models on it and ship those models in products, perpetually. The $149 research licence covers students and non-commercial work only. Packs of 5,000–20,000 images are commercial only, $2,400–$8,500. Reselling or redistributing the dataset itself is not allowed. The free sample is a separate download under the open licence shown on its Kaggle or Hugging Face page.

**Which formats and models does it work with?**

YOLO (.txt per image) and COCO (.json): the YOLO labels load directly in YOLOv5, YOLOv8 and YOLO11, and COCO works with most other detectors, such as RT-DETR and Faster R-CNN. In the full set, images are mostly 1672×941, the download is   ≈668 MB (.zip), laid out as images/ + labels/ (train, val), annotations/. Results depend on your model, hardware and cameras, so evaluate on a small set of your own footage.

Ask or order

## A question, a larger pack, or this scenario on your cameras.

Tell us the camera type, the classes you detect and what your model gets wrong today. We answer within one working day with the pack price, a quote for your own camera views, or a plain answer.

Send 5 to 20 photos of your empty scenes afterwards and we render this scenario into them.

Fire & smoke

## Related datasets

### [Long-Distance Wildfire & Smoke Detection](https://simuletic.com/datasets/long-distance-wildfire-smoke-detection-dataset)

Wildfire smoke detection dataset: 1,000 synthetic fire-lookout images with smoke and wildfire boxes in YOLO and COCO, night fires and look-alike negatives.

**Size**

1,000 images


**Format**

YOLO + COCO


### [UAV & Aerial View: Battle Tank Detection](https://simuletic.com/datasets/uav-aerial-battle-tank-detection-dataset)

Synthetic aerial dataset for battle tank detection from UAV and drone perspectives. 3,000 YOLO-annotated images with 164 open-source samples on Kaggle.

**Size**

3,000 images


**Format**

YOLO


### [CCTV Shoplifting Detection](https://simuletic.com/datasets/cctv-shoplifting-detection-dataset)

Train a shoplifting detection model: 5,000+ synthetic CCTV frames and 100+ videos with YOLO, pose and VLM labels. Free 400-image sample on Kaggle.

**Size**

5,000+ frames + 100+ videos


**Format**

YOLO + VLM


### [CCTV ATM Robbery Detection: Gun & Knife](https://simuletic.com/datasets/cctv-atm-robbery-detection-dataset)

Synthetic ATM robbery detection dataset with 3,000 YOLO images. Four classes: offender, victim, gun, knife. 237 open-source samples on Kaggle.

**Size**

3,000 images


**Format**

YOLO


### [CCTV Weapon Detection](https://simuletic.com/datasets/cctv-weapon-detection-dataset)

Train AI weapon detection on 1,000 synthetic CCTV images: handguns, rifles, shotguns and look-alike negatives, labelled in YOLO and COCO. Free sample included.

**Size**

1,000 images


**Format**

YOLO + COCO


### [CCTV Knife Detection](https://simuletic.com/datasets/cctv-knife-detection-dataset)

Synthetic knife detection dataset: 1,000 CCTV images of people holding knives plus look-alike negatives, labelled in YOLO and COCO. Free sample.

**Size**

1,000 images


**Format**

YOLO + COCO


## Need this scenario on your cameras?

Send 5–20 photos of your empty scenes. Custom packs start at $1,500 for 2,500 annotated images on your exact angles.

---
Markdown version of https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset. Prices in USD, excl. VAT. Contact: contact@simuletic.com
