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1,000 People - Passenger Behavior Recognition Data

Passenger normal behavior
passenger carsick behavior
passenger sleepy behavior
passenger lost items behavior
multiple age groups
multiple time periods

The 1,000 passenger behavior recognition data covers multiple ages, time periods and light exposure. Passenger behavior includes passenger normal behavior, passenger abnormal behavior (passenger motion sickness behavior, passenger sleepiness behavior, passenger lost children & items behaviors). In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of passenger behavior identification data can be used for passenger behavior analysis and other tasks.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
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 groups, multiple time periods, multiple lighting, multiple behaviors (normal behaviors, carsick behaviors, sleepy behaviors, lost children & items behaviors)
Device
visible light and infrared binocular camera, resolution 1,920x1,080
Shooting position
the center of rear view mirror inside the car, above the right A-pillar in the car, front passenger position, above the left B-pillar in the car, above the right B-pillar in the car
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%
Sample Sample
  • 1,000 People - Passenger Behavior Recognition Data
  • 1,000 People - Passenger Behavior Recognition Data
  • 1,000 People - Passenger Behavior Recognition Data
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1,000 People Driver Behavior Identification Data

1,000 People-Driver Behavior Identification Data. 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.

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122 People - Passenger Behavior Recognition Data

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Passenger normal behavior passenger carsick behavior passenger sleepy behavior passenger lost items behavior multiple age groups multiple time periods
304 People Multi-race - Driver Behavior Collection Data

304 People Multi-race - Driver Behavior Collection Data. The data includes multiple ages, multiple time periods and multiple races (Caucasian, Black, Indian). 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.

dangerous behaviors fatigue behaviors visual movement behaviors multiple ages multiple time periods multiple races n-car Cameras RGB and infrared channels feeling passion sentiment excitement sensation affection intensity ardor sensibility fervor vehemence love response warmth zeal emotional pathos agitation spirit affectivity enthusiasm fervency perturbation impression sympathy sadness sentimentality thrill eagerness poignancy commotion emotionalism fire soul animation emotionality responsiveness sensitiveness disturbance energy expression tenderness pitifulness plaintiveness poignance sentiments vibes anger empathy feelings
103,282-Images Driver Behavior Annotation Data

103,282-Images Driver Behavior Annotation Data. 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.

dangerous behaviors fatigue behaviors visual movement behaviors 72 facial landmarks face attributes gesture bounding boxes seatbelt bounding boxes pupil landmarks behavior categories multiple ages multiple time periods In-car Cameras RGB and infrared channels.emini pair couple matches two brace pairs deuce double doubles duality twin match combine twosome duo dyad mates duet duplicate gemini the twins similitude yoke binaries counterparts mate analogs counterpart couples doublets look-alike parallel span deuces mirror images brothers clone duplexes nuts rocks alter egos balls clones combo doublet dyads equivalents join pair-offs plumsrn
1,003 People-Driver Behavior Collection Data

1,003 People-Driver Behavior Collection Data. The data includes multiple ages and multiple time periods. 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.

dangerous behaviors fatigue behaviors visual movement behaviors multiple ages multiple time periods In-car Cameras RGB and infrared channels
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