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frigate-object-detection/1 (latest)
Dataset Analytics
Generated on September 26, 2023 at 6:07 pm.
Number of Images
9,891
Number of Annotations
30,348
Average Image Size
0.17 mp
Median Image Ratio
416x416
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
13,203
7,782
3,835
3,823
735
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Under Represented
424
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Under Represented
316
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Under Represented
230
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Under Represented
9600
5699
2699
2689
631
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Under Represented
257
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
226
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Under Represented
164
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Under Represented
2601
1342
741
738
18
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Under Represented
111
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
84
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Under Represented
42
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Under Represented
1002
741
395
396
86
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Under Represented
56
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
6
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Under Represented
24
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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 (416x416).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
8,759
wide
1,132
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
human (3,823)
face (3,835)
Person (7,782)
Knife_Weapon (735)
dog (230)
car (424)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
human
face
Person
Knife_Weapon
dog
car
-
0
-
1
-
2-9
-
10-17
-
18-25
-
26-33
-
34-41
-
42-49
-
50-57
-
58-65
-
66-73
-
74-81
7545 imgs
3772.5