Dataset Analytics

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

Number of Images

10,000

Number of Annotations

63,865

Average Image Size

0.05 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
11,868
10,251
9,172
3,558
Under Represented
2,382
Under Represented
8486
7200
6413
2436
Under Represented
1655
Under Represented
1688
1510
1294
624
Under Represented
Under Represented
1694
1541
1465
498
Under Represented
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).

68
< 100x100
1,198
8,311
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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