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Object_detection_custom_retaill_small_dataset

Object Detection

Dataset Analytics

Generated on June 06, 2023 at 1:36 am.

Number of Images

31
0 missing annotations

Number of Annotations

3,704
119.5 per image (average)
Across 13 classes

Average Image Size

7.99 mp
from to 4.92 mp

Median Image Ratio

2448x3264
tall

Class Balance

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

Classes

Soap
1,104
Shampoo
671
can
402
Box
375
toothpaste
338
toothbrush
273
Bottle
201
Under Represented
coffee
102
Under Represented
facewash
92
Under Represented
lipstick
50
Under Represented
mouthwash
43
Under Represented
green tea
27
Under Represented
hand sanitizer
26
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 (2448x3264).

jumbo
31
> 1024x1024
2448px
3264px

Aspect Ratio Distribution

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

tall
25
wide
6

Annotation Heatmap

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

all
Shampoo (671)
Soap (1,104)
hand sanitizer (26)
toothpaste (338)
coffee (102)
can (402)
toothbrush (273)
Box (375)
facewash (92)
mouthwash (43)
Bottle (201)
green tea (27)
lipstick (50)

Histogram of Object Count by Image

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

all
Shampoo
Soap
hand sanitizer
toothpaste
coffee
can
toothbrush
Box
facewash
mouthwash
Bottle
green tea
lipstick
    8 imgs
    4
  • 0
  • 1
  • 2-32
  • 33-63
  • 64-94
  • 95-125
  • 126-156
  • 157-187
  • 188-218
  • 219-249
  • 250-280
  • 281-311
Count of all objects

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