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license: cc-by-nc-nd-4.0 |
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## Description |
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This dataset is just a sample of 103,282-Images Driver Behavior Annotation Data(paid dataset). The data includes multiple ages, multiple time periods and behaviors (Dangerous behaviors, Fatigue behaviors, Visual movement behaviors). In terms of annotation, 72 facial landmarks (including pupils), face attributes, gesture bounding boxes, seatbelt bounding boxes, pupil landmarks and behavior categories were annotated in the data. This data can be used for tasks such as driver behavior analysis. |
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For more details & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/computervision/1033?source=Huggingface |
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## Data size |
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103,282 images |
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## Population |
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gender distribution: male, female, race distribution: Asian, age distribution: 18~30 years old, 31~45 years old, 46~60 years old |
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## Collection environment |
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In-car Cameras |
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## Collection diversity |
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multiple ages, multiple time periods and behaviors(Dangerous behaviors, Fatigue behaviors, Visual movement behaviors) |
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## Collection device |
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binocular camera of RGB and infrared channels, the resolutions are 640x480 |
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## Collection time |
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daytime, evening and night |
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## Image parameter |
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the image format is .jpeg, the annotated file format is .json |
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## Annotation |
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72 facial landmarks (including pupils), face attributes, gesture bounding boxes, seatbelt bounding boxes, pupil landmarks, behavior categories |
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## Desensitization |
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no sensitive information |
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## Accuracy |
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the accuracy of facial landmarks annotation is not less than 95%; the accuracies of gesture bounding box, seatbelt bounding box, face attribute and driver behavior label are not less than 95% |
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# Licensing Information |
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Commercial License |
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