Dataset Analytics

Generated on January 15, 2024 at 5:33 pm.

Number of Images

1,112
0 null examples

Number of Annotations

1,685
1.5 per image (average)
Across 10 classes

Average Image Size

0.29 mp
from to 0.05 mp
to 1.44 mp

Median Image Ratio

720x416
wide

Class Balance

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

Classes

all
train
valid
test
Litter
229
Plastic
202
Natual-Debris
182
Rubber
179
Metal
174
Accessories
171
Wood
170
Rope
145
Glass
126
Under Represented
Cutlery
107
Under Represented
Litter
167
Plastic
155
Natual-Debris
128
Rubber
120
Metal
121
Accessories
118
Wood
125
Rope
103
Glass
89
Under Represented
Cutlery
70
Under Represented
Litter
35
Plastic
29
Natual-Debris
45
Rubber
38
Metal
40
Accessories
35
Wood
34
Rope
30
Glass
21
Under Represented
Cutlery
27
Litter
27
Plastic
18
Natual-Debris
9
Under Represented
Rubber
21
Metal
13
Accessories
18
Wood
11
Under Represented
Rope
12
Glass
16
Cutlery
10
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 (720x416).

medium
143
large
967
jumbo
2
> 1024x1024
720px
416px

Aspect Ratio Distribution

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

square
140
wide
972

Annotation Heatmap

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

all
Metal (174)
Rubber (179)
Accessories (171)
Natual-Debris (182)
Plastic (202)
Litter (229)
Glass (126)
Wood (170)
Cutlery (107)
Rope (145)

Histogram of Object Count by Image

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

all
Metal
Rubber
Accessories
Natual-Debris
Plastic
Litter
Glass
Wood
Cutlery
Rope
    802 imgs
    401
  • 0
  • 1
  • 2-3
  • 4-5
  • 6-7
  • 8-9
  • 10-11
  • 12-13
Count of all objects

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