Dataset Analytics

Generated on February 27, 2024 at 2:33 pm.

Number of Images

604
0 missing annotations

Number of Annotations

599
1.0 per image (average)
Across 2 classes

Average Image Size

0.26 mp
from to 0.04 mp
to 1.82 mp

Median Image Ratio

512x512
square

Class Balance

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

Classes

all
train
valid
test
Brain-Tumor
580
no brain tumor
19
Under Represented
Brain-Tumor
409
no brain tumor
13
Under Represented
Brain-Tumor
87
no brain tumor
3
Under Represented
Brain-Tumor
84
no brain tumor
3
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 (512x512).

small
9
medium
580
large
13
jumbo
2
> 1024x1024
512px
512px

Aspect Ratio Distribution

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

tall
60
square
528
wide
16

Annotation Heatmap

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

all
Brain-Tumor (580)
no brain tumor (19)

Histogram of Object Count by Image

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

all
Brain-Tumor
no brain tumor
    593 imgs
    296.5
  • 0
  • 1
  • 2
Count of all objects

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