|
|
--- |
|
|
license: cc-by-nc-nd-4.0 |
|
|
--- |
|
|
## Description |
|
|
This dataset is just a sample of 1,000 People-Driver Behavior Identification Data (paid dataset). The data includes multiple ages, multiple time periods and multiple lighting. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis. |
|
|
|
|
|
For more details & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/computervision/1277?source=Huggingface |
|
|
|
|
|
|
|
|
## Data size |
|
|
1,000 people |
|
|
## Population distribution |
|
|
gender distribution: male, female; race distribution: Asian; age distribution: 18~45 years old, 46~60 years old, over 60 years old |
|
|
## Collecting environment |
|
|
in-car Cameras |
|
|
## Data diversity |
|
|
multiple age periods, multiple time periods, multiple lighting and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior) |
|
|
## Device |
|
|
visible light and infrared binocular camera, resolution 1,920x1,080 |
|
|
## Shooting position |
|
|
the center of the inside rear view mirror of the car, above the center console in the car, above the left A-pillar in the car, steering wheel position |
|
|
## Collecting time |
|
|
day, evening, night |
|
|
## Collecting light |
|
|
normal light, weak light, strong light |
|
|
## Vehicle Type |
|
|
car, SUV, MVP, truck, coach |
|
|
## Data Format |
|
|
the video data format is .mp4 |
|
|
## Accuracy |
|
|
according to the accuracy of each person's acquisition action, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95% |
|
|
# Licensing Information |
|
|
Commercial License |
|
|
|
