Dataset Analytics

Generated on November 15, 2023 at 6:38 am.

Number of Images

551
0 null examples

Number of Annotations

3,377
6.1 per image (average)
Across 7 classes

Average Image Size

0.41 mp
from to 0.41 mp
to 2.21 mp

Median Image Ratio

848x480
wide

Class Balance

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

Classes

all
train
valid
test
stand
976
sit
961
walk
479
bending
384
seizure
238
Under Represented
fall
180
Under Represented
sleep
159
Under Represented
stand
690
sit
682
walk
339
bending
267
seizure
163
Under Represented
fall
126
Under Represented
sleep
112
Under Represented
stand
175
sit
197
walk
99
bending
76
seizure
49
Under Represented
fall
34
Under Represented
sleep
28
Under Represented
stand
111
sit
82
walk
41
bending
41
seizure
26
Under Represented
fall
20
Under Represented
sleep
19
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 (848x480).

large
526
jumbo
25
> 1024x1024
848px
480px

Aspect Ratio Distribution

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

wide
551

Annotation Heatmap

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

all
seizure (238)
stand (976)
sleep (159)
sit (961)
walk (479)
fall (180)
bending (384)

Histogram of Object Count by Image

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

all
seizure
stand
sleep
sit
walk
fall
bending
    184 imgs
    92
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
Count of all objects

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