Dataset Analytics

Generated on November 15, 2024 at 3:38 pm.

Number of Images

9,291

Number of Annotations

15,018

Average Image Size

0.07 mp

Median Image Ratio

256x256
square

Class Balance

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

Classes

all
train
valid
test
1,374
1,361
1,165
1,091
651
485
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
135
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
1114
1094
514
437
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
121
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
125
135
Missing
Under Represented
Missing
Missing
Missing
Under Represented
Missing
Under Represented
Under Represented
Missing
Missing
Under Represented
Under Represented
Missing
Under Represented
135
132
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
Under Represented
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 (256x256).

1
< 100x100
1,545
5,969
977
799
> 1024x1024
256px
256px

Aspect Ratio Distribution

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

tall
361
square
8,263
wide
667

Annotation Heatmap

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

all
Scab apple (305)
Bad Apple (651)
Good Mango (407)
Carambola Bed Bugs (249)
Bad Carambola (811)
Good Apple (1,165)
Lemon black-spot (135)
Bad Lemon (135)
Good Pomegranate (219)
Good Lemon (420)
Apple_Rotten (311)
Mango Anthracnose Disease (261)
Bad Mango (1,361)
Bad Watermelon (200)
Watermelon_Anthracnose disease (200)
Good Watermelon (328)
Mango_Black Mould Rot (378)
orange_canker disease (203)
Bad Orange (768)
Orange_blackspot disease (95)
Good Guava (1,091)
Orange_grenning disease (468)
Mango_Alternaria (330)
Bad Guava (1,374)
Gauva phytopthora (212)
Guava rotten (206)
Guava_scab disease (274)
Mango__Rotten disease (231)
Guava dot (485)
Good Carambola (542)
Guava styler_end_root (54)
Mango Stem end Rot disease (145)
Carambola Anthracnose Disease (128)
carambola Borer Disease (435)
Good Orange (253)
Guava rust disease (151)
Apple Blotch (37)

Histogram of Object Count by Image

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

all
Scab apple
Bad Apple
Good Mango
Carambola Bed Bugs
Bad Carambola
Good Apple
Lemon black-spot
Bad Lemon
Good Pomegranate
Good Lemon
Apple_Rotten
Mango Anthracnose Disease
Bad Mango
Bad Watermelon
Watermelon_Anthracnose disease
Good Watermelon
Mango_Black Mould Rot
orange_canker disease
Bad Orange
Orange_blackspot disease
Good Guava
Orange_grenning disease
Mango_Alternaria
Bad Guava
Gauva phytopthora
Guava rotten
Guava_scab disease
Mango__Rotten disease
Guava dot
Good Carambola
Guava styler_end_root
Mango Stem end Rot disease
Carambola Anthracnose Disease
carambola Borer Disease
Good Orange
Guava rust disease
Apple Blotch
    5428 imgs
    2714
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
Count of all objects

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