Dataset Analytics

Generated on March 22, 2024 at 12:53 am.

Number of Images

684

Number of Annotations

684

Average Image Size

0.55 mp

Median Image Ratio

999x551
wide

Class Balance

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

Classes

all
train
valid
test
75
ne
67
67
u
64
59
uma
57
56
56
inu
49
48
mi
46
i
40
Under Represented
59
ne
50
50
u
48
43
uma
42
43
43
inu
35
35
mi
35
i
31
Under Represented
16
ne
17
17
u
16
16
uma
15
12
13
inu
14
13
mi
11
i
9
Under Represented
0
Missing
ne
0
Missing
0
Missing
u
0
Missing
0
Missing
uma
0
Missing
0
Missing
inu
0
Missing
0
Missing
mi
0
Missing
i
0
Missing

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 (999x551).

586
98
> 1024x1024
999px
551px

Aspect Ratio Distribution

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

wide
684

Annotation Heatmap

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

all
ushi (67)
uma (57)
saru (56)
i (40)
tori (48)
tatsu (59)
hitsuji (56)
u (64)
inu (49)
ne (67)
tora (75)
mi (46)

Histogram of Object Count by Image

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

all
ushi
uma
saru
i
tori
tatsu
hitsuji
u
inu
ne
tora
mi
    684 imgs
    342
  • 1
Count of all objects

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