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Driver_Drowsiness_Monitoring_Detection_Dataset

Tasks:
Object Detection
Keypoint Detection
Languages:
English
Size:
n<1K
Tags:
Synthetic
driver-monitoring
drowsiness-detection
microsleep
eye-state
gaze-estimation
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Driver_Drowsiness_Monitoring_Detection_Dataset / README.md
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metadata 
license: cc-by-4.0
language:
  - en
pretty_name: Driver Drowsiness Detection Dataset (free sample)
task_categories:
  - object-detection
  - keypoint-detection
tags:
  - synthetic
  - driver-monitoring
  - drowsiness-detection
  - microsleep
  - eye-state
  - gaze-estimation
  - head-pose-estimation
  - automotive
  - in-cabin
  - computer-vision
size_categories:
  - n<1K

Driver Drowsiness Detection Dataset (free sample)

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 drowsiness detection and driver monitoring (DMS) models. The frames come from six short sequences, each with an annotated video. Made by Simuletic, which builds synthetic computer-vision datasets for safety and security.

Full dataset and licence: simuletic.com/datasets/driver-drowsiness-detection-dataset

Free sample (files on Kaggle) Full dataset
Images 168 JPEG frames from 6 sequences 10,000 images, plus 20 validation videos
States alert, microsleep, falling asleep eye_open, eye_closed, eye_drowsy
Labels JSON per sequence: head pose, eye state, gaze zone, PERCLOS; 6 annotated MP4 videos YOLO + eye keypoints
View in-cabin driver camera varied drivers, glasses, sunglasses and hats; day, night, tunnel and headlight glare
Licence CC BY 4.0 one-time licence: 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.

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

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.

Full dataset and custom data

The full Driver Drowsiness Detection Dataset has 10,000 images, YOLO + keypoints, classes eye_open, eye_closed, eye_drowsy. 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

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.

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