Version_01_Fine_Tuning_data_set_2024_June

Object Detection

Dataset Analytics

Generated on June 27, 2024 at 1:18 pm.

Number of Images

837

Number of Annotations

2,579

Average Image Size

8.29 mp

Median Image Ratio

3840x2160
wide

Class Balance

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

Classes

all
train
valid
test
838
387
149
122
Under Represented
112
Under Represented
Under Represented
85
Under Represented
44
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
838
387
149
122
Under Represented
112
Under Represented
Under Represented
85
Under Represented
44
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
0
Missing
Missing
Missing
Missing
Missing
Missing
Missing
0
Missing
0
Missing
Missing
Missing
Missing
Missing
Missing
0
Missing
Missing
Missing
Missing
Missing
Missing
Missing
0
Missing
0
Missing
Missing
Missing
Missing
Missing
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 (3840x2160).

837
> 1024x1024
3840px
2160px

Aspect Ratio Distribution

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

wide
837

Annotation Heatmap

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

all
boyaHasari (698)
blade (838)
serration (387)
yagLekesi (149)
vortex (44)
drenaj (85)
yildirimHasari (88)
erozyon (122)
kabukAyrilmasi (5)
reseptorHasarli (37)
reseptor (112)
yuzeyCatlagi (11)
vortexHasarli (1)
serrationHasarli (2)

Histogram of Object Count by Image

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

all
boyaHasari
blade
serration
yagLekesi
vortex
drenaj
yildirimHasari
erozyon
kabukAyrilmasi
reseptorHasarli
reseptor
yuzeyCatlagi
vortexHasarli
serrationHasarli
    455 imgs
    227.5
  • 1
  • 2-3
  • 4-5
  • 6-7
  • 8-9
  • 10-11
Count of all objects

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