Students & research
Research
1,000 images, one-time
Students and non-commercial research. One lab or course.
- 1,000 images, YOLO + COCO labels
- Fixed train / val split
- Dataset card
- Non-commercial licence
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
- 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.
Licence
One-time licence. No subscription.
Every licence includes the YOLO + COCO labels, a fixed train / val split and a dataset card. Need it on your own camera angles? Order a custom pack.
One organisation
Commercial
1,000 images, one-time
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
$2,400–$8,500commercial
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 |
| 10,000 | Not offered | $4,500 | Order 10,000 |
| 20,000 | Not offered | $8,500 | Order 20,000 |
- 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.
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
person1,032smoke834fire427hard negatives165
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
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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.