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grocery-products-detection/5 (latest)
Dataset Analytics
Generated on November 04, 2023 at 8:59 pm.
Number of Images
241
Number of Annotations
1,701
Average Image Size
1.23 mp
Median Image Ratio
960x1280
tall
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
321
261
237
187
170
93
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
88
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
88
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
86
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
86
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
84
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
242
214
198
139
109
67
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
65
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
64
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
62
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
63
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
61
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
55
29
26
36
36
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
14
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
24
18
13
12
25
10
8
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
10
9
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
8
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
8
Add more images with this class to improve the model's ability to learn and predict it.
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 (960x1280).
241
> 1024x1024
960px
1280px
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
169
wide
72
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Cucumber (261)
Bread (93)
Milk (86)
Apples (237)
Bananas (170)
Carrot (187)
Sausages (88)
Cheese (84)
Meat (88)
Eggs (86)
Tomatoes (321)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Cucumber
Bread
Milk
Apples
Bananas
Carrot
Sausages
Cheese
Meat
Eggs
Tomatoes
-
1
-
2-5
-
6-9
-
10-13
-
14-17
-
18-21
-
22-25
-
26-29
-
30-33
63 imgs
31.5