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Driver Drowsiness Detection Dataset (in-cabin, YOLO + eye keypoints): free 168-frame sample
This driver drowsiness detection dataset is a free sample of 168 synthetic in-cabin images of a driver who is alert, has a microsleep or falls asleep, with per-frame labels for head pose, eye state, gaze zone and PERCLOS, for training and testing driver monitoring (DMS) models. The frames come from six short sequences, each with an annotated video. The full 10,000-image dataset labels eye_open, eye_closed and eye_drowsy with YOLO boxes and eye keypoints across varied drivers, glasses, sunglasses and hats, by day, at night, in tunnels and in headlight glare, plus 20 validation videos. Made by Simuletic, a Swedish company that has built synthetic CCTV datasets for computer vision since 2023.
Get the full dataset · Free sample licence: CC BY 4.0. This free sample is also on Kaggle.
Facts
| Free sample (this repo) | Full dataset | |
|---|---|---|
| Images | 168 JPEG frames from 6 sequences | 10,000, plus 20 validation videos |
| Classes / states | alert, microsleep, falling asleep | eye_open, eye_closed, eye_drowsy |
| Boxes | per-frame head pose, eye state, gaze zone, PERCLOS | YOLO boxes + eye keypoints on every frame |
| Hard negatives | alert frames | alert drivers; glasses, sunglasses and hats |
| Resolution | in-cabin video frames | in-cabin frames; day, night, tunnel and headlight glare |
| View | in-cabin driver camera | in-cabin driver camera, varied drivers |
| Labels | JSON per sequence + 6 annotated MP4 videos | YOLO + eye keypoints, dataset card |
| Licence | CC BY 4.0 | one-time: research $149 / commercial $590 per 1,000 images |
Where the files are
This Hugging Face page has no data files. The free sample (168 images, 6 JSON label files and 6 annotated videos) is on Kaggle: kaggle.com/datasets/simuletic/driver-drowsiness-detection-monitoring-dataset. The sections below describe those files.
What's in the images
Frames from an in-cabin driver-monitoring camera, showing the driver at the wheel. The frames come from six short sequences, taken every fifth frame, so you can follow how the eyes and head change over time:
| Sequence | Driver state | Frames |
|---|---|---|
driver_no_sleep |
alert | 29 |
driver_microsleep2 |
microsleep (eyes close briefly) | 28 |
driver_full_sleep … driver_full_sleep4 (4 sequences) |
falling asleep | 111 |
Because the images are computer-generated, the head pose, gaze and eye opening of every frame are known exactly, not estimated by a human annotator.
Labels
There is one JSON file per sequence (six in total). Per frame they give:
- Head pose: where the head is turned
- Eye state: how open or closed the eyes are
- Gaze zone: where the driver is looking
- PERCLOS: the percentage of time the eyes are closed, a standard drowsiness and microsleep measure
Each sequence also has an annotated MP4 video that shows the labels drawn on the frames.
Label format and files
Simuletic_DMS_Dataset/
images/ # 168 JPEG frames (driver_no_sleep_f5.jpg ... driver_no_sleep_f145.jpg, ...)
labels/ # 6 JSON files, one per sequence (driver_no_sleep.json, ...)
visualizations/ # 6 annotated MP4 videos, one per sequence
Use cases
- Prototyping driver monitoring systems (DMS) for drowsiness, microsleep and distraction alerts
- Testing eye-state, gaze and head-pose models before collecting in-car data
- Working towards the drowsiness and attention requirements of Euro NCAP and the EU General Safety Regulation (GSR)
- Fleet safety and advanced driver assistance (ADAS) research
Full dataset and prices
The full Driver Drowsiness Detection Dataset has 10,000 images, YOLO + keypoints, classes eye_open, eye_closed, eye_drowsy. Every licence is a one-time payment, perpetual, for one organisation; you get a download link within five working days (card or invoice). Research covers students and non-commercial work and is available for 1,000 images only; packs of 5,000 images and more are sold with the commercial licence, which lets you train models and ship them in products.
| Research | Commercial | |
|---|---|---|
| 1,000 images | $149 | $590 |
| 5,000-image pack | not offered | $2,400 |
| 10,000-image pack | not offered | $4,500 |
| 20,000-image pack | not offered | $8,500 |
Packs are the same dataset at larger size, with the same labels and split, under the commercial licence. 50,000+ images, video datasets and enterprise agreements (from $10,000) are quoted. Other scenes, camera angles or classes: custom data or contact@simuletic.com.
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 no night or infrared frames and no drivers with sunglasses or hats, and its labels are JSON; the full dataset adds those cases and YOLO eye-keypoint labels.
More synthetic datasets from Simuletic
- CCTV Fall & Incident Detection Dataset
- CCTV Fight & Aggression Detection Dataset
- CCTV Pedestrian-1K: Person Attribute Dataset
- All datasets: simuletic.com/datasets · Hugging Face · Kaggle · GitHub
Licence
This free sample is licensed under CC BY 4.0: you may share and adapt it for any purpose, including commercial use, as long as you credit Simuletic. The full dataset is sold under a separate one-time research or commercial licence; it is not redistributed.
Citation
@misc{simuletic_drowsiness_2025,
author = {{Simuletic}},
title = {Driver Drowsiness Detection Dataset},
year = {2025},
publisher = {Simuletic},
howpublished = {\url{https://huggingface.co/datasets/Simuletic/Driver_Drowsiness_Monitoring_Detection_Dataset}},
note = {Free sample. Full dataset: \url{https://simuletic.com/datasets/driver-drowsiness-detection-dataset}}
}
Questions or feedback: contact@simuletic.com
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