Dataset Analytics

Generated on September 10, 2024 at 7:14 am.

Number of Images

7,800

Number of Annotations

29,365

Average Image Size

0.03 mp

Median Image Ratio

164x170
square

Class Balance

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

Classes

all
train
valid
test
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
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
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
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 (164x170).

105
< 100x100
4,162
2,671
297
565
> 1024x1024
164px
170px

Aspect Ratio Distribution

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

tall
1,381
square
4,989
wide
1,398
very wide
30
> 1.5:1
extremely wide
2
> 2.5:1

Annotation Heatmap

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

all
Gua_Rust_Puccinia_Psidii (1,264)
Mango_Anthracnose(F) (1,802)
Ban_Mosaic_Leaves (345)
Ban_Coconut_Scale (1,419)
Gua_Anthracnose(L) (300)
Mango_Bacterial_Canker(L) (300)
Ban_Moko_D_Leaves (623)
Mango_Sooty Mould(F) (555)
G_Algal_Spot(L) (3,249)
Ban_Healthy_Leaves (481)
Ban_Healthy_Fruit (724)
Ban_Aphid_Pest (3,778)
Gua_Healthy_Fruits (468)
Ban_Moko_Fruit (642)
Ban_BnY_Sigatoka_Leave (2,515)
Mango_Healthy(L) (303)
Ban_Cigar_EndRot (508)
Gua_Scab(F) (350)
Gua_Phytophora(F) (390)
Ban_Cordana_Spot_Leaf (768)
Gua_Rust_Puccinia_Psidii(L) (2,183)
Gua_Anthracnose_Fruits (1,817)
Ban_Anthracnose_Fruit (3,450)
Mango_Healthy(F) (302)
Mango_Black Sooty Mould(L) (323)
Gua_Healthy_Leaves (506)

Histogram of Object Count by Image

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

all
Gua_Rust_Puccinia_Psidii
Mango_Anthracnose(F)
Ban_Mosaic_Leaves
Ban_Coconut_Scale
Gua_Anthracnose(L)
Mango_Bacterial_Canker(L)
Ban_Moko_D_Leaves
Mango_Sooty Mould(F)
G_Algal_Spot(L)
Ban_Healthy_Leaves
Ban_Healthy_Fruit
Ban_Aphid_Pest
Gua_Healthy_Fruits
Ban_Moko_Fruit
Ban_BnY_Sigatoka_Leave
Mango_Healthy(L)
Ban_Cigar_EndRot
Gua_Scab(F)
Gua_Phytophora(F)
Ban_Cordana_Spot_Leaf
Gua_Rust_Puccinia_Psidii(L)
Gua_Anthracnose_Fruits
Ban_Anthracnose_Fruit
Mango_Healthy(F)
Mango_Black Sooty Mould(L)
Gua_Healthy_Leaves
    4213 imgs
    2106.5
  • 1
  • 2-14
  • 15-27
  • 28-40
  • 41-53
  • 54-66
  • 67-79
  • 80-92
  • 93-105
  • 106-118
  • 119-131
Count of all objects

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