Dataset Analytics
Generated on August 19, 2022 at 2:56 pm.
Number of Images
74
Number of Annotations
2,068
Average Image Size
2.25 mp
Median Image Ratio
1500x1500
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
75
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
74
70
70
70
70
38
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
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
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
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
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
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
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
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 (1500x1500).
74
> 1024x1024
1500px
1500px
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
74
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
box-1 (74)
box-2 (74)
box-3 (74)
box-4 (74)
box-5 (74)
box-6 (74)
box-c (74)
box-7 (74)
box-8 (74)
box-9 (74)
box-10 (74)
box-11 (74)
box-12a (70)
box-12b (70)
box-12c (70)
box-12d (70)
box-b (74)
box-a (74)
box-13 (74)
box-14 (74)
box-e (74)
box-15 (74)
box-16 (74)
box-17 (75)
box-18 (74)
box-19 (74)
box-20 (74)
box-d (38)
box-12 (4)
box-f (3)
box-7-data (1)
box-1-data (1)
box-2-data (1)
box-8-data (1)
box-3-data (1)
box-4-data (1)
box-5-data (1)
box-6-data (2)
box-c-data (1)
box-10-data (1)
box-11-data (1)
box-12a-code (1)
box-12a-data (1)
box-12b-code (1)
box-b-data (1)
box-a-data (1)
box-14-data (1)
box-12c-code (1)
box-12c-data (1)
box-12d-code (1)
box-12d-data (1)
box-13se-data (1)
box-13rp-data (1)
box-13tps-data (1)
box-e-data (1)
box-15st1-data (1)
box-15id1-data (1)
box-15st2-data (1)
box-15id2-data (1)
box-16-1-data (1)
box-16-2-data (1)
box-17-1-data (1)
box-17-2-data (1)
box-18-1-data (1)
box-18-2-data (1)
box-19-1-data (1)
box-19-2-data (1)
box-20-1-data (1)
box-20-2-data (1)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
box-1
box-2
box-3
box-4
box-5
box-6
box-c
box-7
box-8
box-9
box-10
box-11
box-12a
box-12b
box-12c
box-12d
box-b
box-a
box-13
box-14
box-e
box-15
box-16
box-17
box-18
box-19
box-20
box-d
box-12
box-f
box-7-data
box-1-data
box-2-data
box-8-data
box-3-data
box-4-data
box-5-data
box-6-data
box-c-data
box-10-data
box-11-data
box-12a-code
box-12a-data
box-12b-code
box-b-data
box-a-data
box-14-data
box-12c-code
box-12c-data
box-12d-code
box-12d-data
box-13se-data
box-13rp-data
box-13tps-data
box-e-data
box-15st1-data
box-15id1-data
box-15st2-data
box-15id2-data
box-16-1-data
box-16-2-data
box-17-1-data
box-17-2-data
box-18-1-data
box-18-2-data
box-19-1-data
box-19-2-data
box-20-1-data
box-20-2-data
-
1
-
2-8
-
9-15
-
16-22
-
23-29
-
30-36
-
37-43
-
44-50
-
51-57
-
58-64
-
65-71
73 imgs
36.5