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trash-detection-kkthk/7 (latest)
Dataset Analytics
Generated on October 13, 2024 at 3:26 am.
Number of Images
892
Number of Annotations
1,328
Average Image Size
2.07 mp
Median Image Ratio
1920x1080
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
374
241
155
130
66
62
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Under Represented
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Under Represented
45
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Under Represented
42
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Under Represented
33
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Under Represented
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Under Represented
27
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Under Represented
22
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Under Represented
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Under Represented
19
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Under Represented
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Under Represented
285
140
134
112
39
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Under Represented
46
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
37
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Under Represented
32
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Under Represented
27
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
20
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Under Represented
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
14
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
35
11
10
11
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Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
54
10
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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 (1920x1080).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
65
square
130
wide
697
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Aluminum-Can (130)
Food-Wrapper (155)
Paper-Plate (62)
Food (374)
Styrofoam (19)
Paper (42)
Paper-Soft (27)
Plastic-Bottle (241)
Cardboard (22)
Bio-Plastic-Cup (21)
Plastic-Container (30)
Plastic-Cup (33)
Plastic-Utensil (59)
Plastic-Bag (45)
Paper-Cup (66)
Aluminum-Foil (2)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Aluminum-Can
Food-Wrapper
Paper-Plate
Food
Styrofoam
Paper
Paper-Soft
Plastic-Bottle
Cardboard
Bio-Plastic-Cup
Plastic-Container
Plastic-Cup
Plastic-Utensil
Plastic-Bag
Paper-Cup
Aluminum-Foil
-
0
-
1
-
2-4
-
5-7
-
8-10
-
11-13
-
14-16
-
17-19
-
20-22
639 imgs
319.5