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Flower classification tutorial with kaggle dataset

Classification

Dataset Analytics

Generated on October 14, 2023 at 8:30 am.

Number of Images
4,311
4311 single-class
0 multi-class

Average Image Size

0.08 mp
from to 0.02 mp
to 0.22 mp

Median Image Ratio

320x240
wide

Class Balance

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

Classes

all
train
valid
test
dandelion
1,052
tulip
984
rose
780
daisy
764
sunflower
731
dandelion
731
tulip
680
rose
563
daisy
543
sunflower
501
dandelion
203
tulip
204
rose
148
daisy
150
sunflower
156
dandelion
118
tulip
100
rose
69
daisy
71
sunflower
74

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 (320x240).

small
1,177
medium
3,134
320px
240px

Aspect Ratio Distribution

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

tall
547
square
275
wide
3,479
very wide
8
> 1.5:1
extremely wide
2
> 2.5:1

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