After unzipping the file downloaded from SCORER Traffic Counter Cloud V2, you will find three CSV files, one for pedestrians, one for motorcycles/bicycles, and one for vehicles. The items in each CSV file are as follows.

Pedestrians (*_people.csv)

column name Example of value meaning
device_id LT_0e3f0097-f1f2-4f93-bd39-455e55ee8443 device ID
datetime 37:47.4 Date and time the detection line passed
line_name line The label of the set detection line
direction up Direction in which the detection line passed (Up/Down, Right/Left)
tracking_id 0 Tracking ID
x 660 x-coordinate of the upper left vertex of the rectangle when the detection line passed
y 524 y-coordinate of the upper left vertex of the rectangle when the detection line passed
w 42 Width of the rectangle when the detection line passes through
h 120 Height of the rectangle when the detection line passes through
age Adult Age (Child, Adult, Old)
age_conf 0.74 Age confidence
gender Male Gender (Male, Female)
gender_conf 0.99 Gender confidence
angle Back Pedestrian orientation (Front, Back, Side)
angle_conf 0.87 Pedestrian orientation
umbrella NoUmbrella Umbrella or not (Umblella, NoUmblella)
umbrella_conf 1 Confidence of whether the pedestrian is holding an umbrella or not
bag NoBag Bag type (NoBag, Handbag, ShoulderBag, Backpack)
bag_conf 0.97 Confidence in the type of bag
upper_clothing LongSleeve Type of upper-body clothing (ShortSleeve, LongSleeve)
upper_clothing_conf 0.98 Upper-body clothing type confidence
lower_clothing Trousers Type of lower-body clothing (Skirt, Trousers, Shorts)
lower_clothing_conf 0.99 Below-body clothing type confidence
upper_color Black Color of upper-body clothing
upper_color_conf 0.93 Upper-body clothing color confidence
lower_color Gray Color of lower-body clothing
lower_color_conf 0.85 Color confidence of lower-body clothing
upper_pattern Joint Upper-body clothing pattern (Pure, Stripe, Design)
upper_pattern_conf 0.96 Upper-body clothing pattern confidence

Motorcycles and Bicycles (*_bike.csv)

column name Example of value meaning
device_id LT_0e3f0097-f1f2-4f93-bd39-455e55ee8443 Device ID
datetime 2019-0804 17:00:00.300100 Date and time of detection line passage
line_name Line1 Set detection line label
direction up Direction in which the detection line passed (Up/Down, Right/Left)
tracking_id 234 Tracking ID
x 346 x-coordinate of the upper left vertex of the rectangle when the detection line passed
y 254 y-coordinate of the upper left vertex of the rectangle when the detection line passed
w 93 Width of the rectangle when the detection line passes through
h 67 Height of the rectangle when the detection line is passed

Vehicle (*_car.csv)

column name Example of value meaning
device_id LT_0e3f0097-f1f2-4f93-bd39-455e55ee8443 Device ID
datetime 2019-0804 17:00:00.300100 Date and time of detection line passage
line_name Line1 Set detection line label
direction up Direction in which the detection line passed  (Up/Down, Right/Left)
tracking_id 234 Tracking ID
x 346 x-coordinate of the upper left vertex of the rectangle when the detection line passed
y 254 y-coordinate of the upper left vertex of the rectangle when the detection line passed
w 93 Width of the rectangle when the detection line passes through
h 67 Height of the rectangle when the detection line is passed
color White Color of the vehicle
color_conf 0.87 Color confidence of the vehicle
type Car Vehicle type (Car, Van, SUV, Truck, Bus)
type_conf 0.76 Confidence of vehicle type
size Small Estimated classification of large and small vehicles (Big, Small)

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