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
Long-Distance Wildfire & Smoke Detection Dataset
Synthetic wildfire smoke detection dataset from fire-lookout cameras: 1,000 images of distant smoke plumes, flame fronts and night fires, plus look-alike scenes like cloud, fog and dust. Smoke and wildfire boxes in YOLO and COCO.
One-time licence · YOLO + COCO labels · instant download
- Full set
- 1,000 images
- Free sample
- 239 images
- Labels
- YOLO + COCO
- Classes
- smoke, wildfire
- 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
239 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
Wildfires are won or lost in the first hour, and the hard part is the faint grey wisp on a distant ridge that looks like cloud, fog or dust. This synthetic dataset shows what mountain-top and mast-mounted lookout cameras see: early smoke plumes kilometres away, single and multiple plumes, smoke with a visible flame front, and dusk and night fires with glowing flame lines, over forest, grassland and snow-covered mountains under clear, hazy and overcast skies. About 28% of the images are hard negatives: cloud on ridges, fog banks, rising valley mist, vehicle dust trails, steam from industrial stacks, rain shafts, low sun haze, lens glare and snow on peaks. Smoke boxes cover the whole visible plume, including the faint wind-blown drift, and wildfire boxes cover every visible flame point or flame line, in YOLO and COCO format with a fixed 900 / 100 train-val split and a dataset card. Every image was checked by eye. The free open-source sample on Kaggle (239 images) comes from an earlier release.
What's in the files
- 1,000 images, 900 / 100 train-val split
- Classes smoke and wildfire (753 and 190 boxes)
- 719 distinct fire scenes, 183 with visible flames
- 50 night fires with glowing flame lines
- About 28% hard negatives (cloud, fog, mist, dust, steam)
- Small, distant plumes: 1 in 6 under 40 px tall
- YOLO and COCO labels, dataset card included
Used for
- Wildfire early-warning camera networks
- AI-assisted fire lookout towers
- Utility right-of-way & wildland-urban interface monitoring
- Forestry & national park surveillance
- False-alarm reduction on cloud, fog and dust
Facts and citation
Long-Distance Wildfire & Smoke Detection: the numbers
Counts from the release's dataset card (version 2026-10-27). 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 | 281 images (28%) |
smoke boxes | 753 |
wildfire boxes | 190 |
| Resolution | mostly 1672×941 (JPEG) |
| Labels | YOLO + COCO |
| Download | ≈324 MB zip: images/, labels/ (train, val), annotations/, README |
Boxes per class
smoke753wildfire190hard negatives281
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_wildfire_smoke_1k,
title = {Long-Distance Wildfire & Smoke Detection Dataset},
author = {Simuletic},
year = {2026},
url = {https://simuletic.com/datasets/long-distance-wildfire-smoke-detection-dataset},
note = {Synthetic dataset. Version 2026-10-27.}
}Questions
Long-Distance Wildfire & Smoke Detection: common questions
How small are the smoke plumes?
Plumes can occupy as little as 0.1% of the frame, as seen from a fire-watch camera or lookout tower several kilometres away.
Which landscapes and conditions are covered?
Boreal forest, chaparral, eucalyptus, mixed conifer and alpine terrain, at dawn, midday, golden hour and dusk, in clear, hazy, partly cloudy and smoky-horizon conditions.
Which classes are labelled?
Two YOLO box classes: smoke and wildfire.
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 1672×941, the download is ≈324 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.