Dataset Analytics

Generated on August 08, 2024 at 7:04 pm.

Number of Images

10,000
0 missing annotations
0 null examples

Number of Annotations

63,865
6.4 per image (average)
Across 6 classes

Average Image Size

0.05 mp
from to 0.00 mp
to 0.37 mp

Median Image Ratio

330x208
wide

Class Balance

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

Classes

all
train
valid
test
tooth_discolation
26,634
caries
11,868
gingivitis
10,251
calculus
9,172
ulcer
3,558
Under Represented
hypodontia
2,382
Under Represented
tooth_discolation
18596
caries
8486
gingivitis
7200
calculus
6413
ulcer
2436
Under Represented
hypodontia
1655
Under Represented
tooth_discolation
3887
caries
1688
gingivitis
1510
calculus
1294
ulcer
624
Under Represented
hypodontia
393
Under Represented
tooth_discolation
4151
caries
1694
gingivitis
1541
calculus
1465
ulcer
498
Under Represented
hypodontia
334
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 (330x208).

tiny
68
< 100x100
small
1,198
medium
8,311
large
423
330px
208px

Aspect Ratio Distribution

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

tall
308
square
244
wide
8,827
very wide
455
> 1.5:1
extremely wide
166
> 2.5:1

Annotation Heatmap

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

all
tooth_discolation (26,634)
caries (11,868)
gingivitis (10,251)
calculus (9,172)
ulcer (3,558)
hypodontia (2,382)

Histogram of Object Count by Image

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

all
tooth_discolation
caries
gingivitis
calculus
ulcer
hypodontia
    4269 imgs
    2134.5
  • 1
  • 2-6
  • 7-11
  • 12-16
  • 17-21
  • 22-26
  • 27-31
  • 32-36
  • 37-41
  • 42-46
Count of all objects

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