Driver Behaviour Dataset
The dataset includes images of driver behaviors captured by RGB and infrared cameras.
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-
- people
- 304
-
- images
- 2 400+
- Auto
- Computer Vision
- Machine learning
- Security
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- people
- 304
-
- images
- 2 400+
Dataset Info
| Characteristic | Data |
| Description | Images of driver recorded with RGB and infrared cameras |
| Data types | Image |
| Tasks | Detection, Driver behavior analysis |
| Total number of people | 304 |
| Total number of images | 2 432 |
| Type of behaviour | Dangerous behavior, Fatigue behavior, Visual movement behavior |
| Labeling | Metadata(nationality, gender, age, collection time and etc) |
| Gender | Male, Female |
| Ethnicity | Indians, Caucasian, African |
| Age | young adults, middle-aged, elderly |
| Collection time | day, evening and night |
Statistics
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- Distribution by gender
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- Distribution by ethnicity
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- Distribution by age
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
| Image resolution | 640x480 |
| Device | binocular camera of RGB and infrared channels |
| Accuracy of each person's action | is more than 95% |
Industries
Automotive Industry:
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Driver Behavior Analysis:
Utilizing images from RGB and infrared cameras to analyze and improve driver behavior, enhancing safety and performance.
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Development of Advanced Driver Assistance Systems (ADAS):
Integrating driver behavior data to refine algorithms for features such as lane-keeping assistance and adaptive cruise control.
Transportation Safety:
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Accident Prevention:
Analyzing driver behavior patterns to identify risky behaviors and implement preventive measures.
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Insurance Risk Assessment:
Using driver behavior data to assess risk profiles for insurance underwriting and premium calculations.
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