Dataset Analytics

Generated on September 06, 2024 at 1:07 am.

Number of Images

3,648

Number of Annotations

3,694
1.0 per image (average)
Across 5 classes

Average Image Size

0.31 mp
from to 0.03 mp
to 0.92 mp

Median Image Ratio

640x480
wide

Class Balance

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

Classes

all
train
valid
test
Drinking
767
Fall_down
739
Sitting_down
736
Standing
735
Walking
717
Drinking
571
Fall_down
586
Sitting_down
346
Under Represented
Standing
508
Walking
583
Drinking
133
Under Represented
Fall_down
140
Under Represented
Sitting_down
388
Standing
209
Walking
127
Under Represented
Drinking
63
Fall_down
13
Under Represented
Sitting_down
2
Under Represented
Standing
18
Walking
7
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 (640x480).

small
5
medium
122
large
3,521
640px
480px

Aspect Ratio Distribution

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

tall
2
square
1,262
wide
2,383
very wide
1
> 1.5:1

Annotation Heatmap

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

all
Walking (717)
Sitting_down (736)
Standing (735)
Drinking (767)
Fall_down (739)

Histogram of Object Count by Image

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

all
Walking
Sitting_down
Standing
Drinking
Fall_down
    3596 imgs
    1798
  • 0
  • 1
  • 2
  • 3
  • 4
Count of all objects

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