Dataset Analytics

Generated on September 23, 2024 at 3:40 pm.

Number of Images

691

Number of Annotations

3,880

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
MCH
881
773
IM
716
488
ABD
378
234
222
PS
133
Under Represented
24
Under Represented
CB
10
Under Represented
9
Under Represented
8
Under Represented
Car
2
Under Represented
PPL
2
Under Represented
MCH
745
517
IM
406
351
ABD
314
61
Under Represented
161
PS
56
Under Represented
24
Under Represented
CB
7
Under Represented
6
Under Represented
4
Under Represented
Car
1
Under Represented
PPL
2
Under Represented
MCH
109
222
IM
154
106
ABD
52
144
51
PS
68
0
Missing
CB
3
Under Represented
3
Under Represented
3
Under Represented
Car
1
Under Represented
PPL
0
Missing
MCH
27
34
IM
156
31
ABD
12
Under Represented
29
10
Under Represented
PS
9
Under Represented
0
Missing
CB
0
Missing
0
Missing
1
Under Represented
Car
0
Missing
PPL
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 (640x640).

691
640px
640px

Aspect Ratio Distribution

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

square
462
wide
229

Annotation Heatmap

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

all
SCHT2 (488)
MCH (881)
SCHT1 (773)
ABD (378)
Glaring (222)
HBurn (24)
IM (716)
PS (133)
PID-RP (234)
CB (10)
PID2 (9)
ABD2 (8)
Car (2)
PPL (2)

Histogram of Object Count by Image

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

all
SCHT2
MCH
SCHT1
ABD
Glaring
HBurn
IM
PS
PID-RP
CB
PID2
ABD2
Car
PPL
    403 imgs
    201.5
  • 1
  • 2-8
  • 9-15
  • 16-22
  • 23-29
  • 30-36
  • 37-43
  • 44-50
  • 51-57
  • 58-64
Count of all objects

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