Dataset Analytics

Generated on November 30, 2022 at 9:26 am.

Number of Images

2,093

0 missing annotations

0 null examples

Number of Annotations

2,266

1.1 per image (average)

Across 21 classes

Average Image Size

0.41 mp

from to 0.41 mp

to 0.41 mp

Median Image Ratio

640x640

square

Class Balance

Overview of the number of annotations for each class in your dataset.

Classes

green_light

167

red_light

149

ped_zebra_cross

117

do_not_turn_l

113

stop

108

bus_stop

105

no_parking

104

enter_left_lane

102

railway_crossing

102

t_intersection_l

102

do_not_turn_r

101

left_right_lane

101

parking

101

do_not_enter

100

do_not_stop

100

do_not_u_turn

100

ped_crossing

100

traffic_light

100

u_turn

100

warning

100

yellow_light

Dimension Insights

Overview of the sizes and aspect ratios of the images in your dataset.

Size Distribution

Sizes are based on the number of pixels in your images.

All images are the same size, 640x640.

Aspect Ratio Distribution

The aspect ratio of your images compares the width vs. the height of your images.

square

2,093

Annotation Heatmap

Overview of where your annotations are located in the images in your dataset.

all

parking (101)

traffic_light (100)

stop (108)

yellow_light (94)

do_not_stop (100)

red_light (149)

u_turn (100)

t_intersection_l (102)

ped_crossing (100)

left_right_lane (101)

railway_crossing (102)

green_light (167)

do_not_enter (100)

do_not_u_turn (100)

ped_zebra_cross (117)

do_not_turn_l (113)

bus_stop (105)

do_not_turn_r (101)

no_parking (104)

enter_left_lane (102)

warning (100)

Histogram of Object Count by Image

Overview of how many classes are annotated in each image in your dataset.

all