Dataset Analytics

Generated on May 13, 2024 at 6:24 pm.

Number of Images

1,189

Number of Annotations

8,454

Average Image Size

0.41 mp

Median Image Ratio

640x640
square

Class Balance

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

Classes

all
train
valid
test
2,028
1,878
h
1,804
s
1,080
Under Represented
vh
663
Under Represented
v
183
Under Represented
1362
1504
h
1251
s
969
vh
589
Under Represented
v
157
Under Represented
0
Missing
238
h
300
s
10
Under Represented
Under Represented
vh
20
Under Represented
v
16
Under Represented
666
136
Under Represented
h
253
s
101
Under Represented
Under Represented
vh
54
Under Represented
v
10
Under Represented

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.

The purple box indicates the median width by median height image (640x640).

7
194
868
120
> 1024x1024
640px
640px

Aspect Ratio Distribution

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

tall
108
square
510
wide
564
very wide
7
> 1.5:1

Annotation Heatmap

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

all
h (1,804)
s (1,080)
helmet (1,878)
vh (663)
safety-vest (818)
people (2,028)
v (183)

Histogram of Object Count by Image

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

all
h
s
helmet
vh
safety-vest
people
v
    996 imgs
    498
  • 1
  • 2-24
  • 25-47
  • 48-70
  • 71-93
  • 94-116
  • 117-139
  • 140-162
  • 163-185
  • 186-208
  • 209-231
Count of all objects

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