Dataset Analytics
Generated on May 07, 2024 at 3:05 am.
Number of Images
1,246
Number of Annotations
1,292
Average Image Size
23.15 mp
Median Image Ratio
5558x4166
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
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
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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.
All images are the same size, 5558x4166.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
1,246
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
JAP L111-Day 29 (24)
JAP Fancy Green - Day 29 (24)
JAP L111-Day27 (24)
Lalique-Day36 (35)
JAP Fancy Green - Day 34 (25)
JAP L122-Day31 (15)
JAP Fancy Green - Day 27 (23)
JAP Fancy Green - Day 28 (25)
JAP L111-Day28 (24)
Lalique-Day26 (20)
Lalique-Day40 (20)
JAP L111-Day32 (20)
JAP Fancy Green - Day 33 (19)
JAP Fancy Green - Day 35 (22)
JAP Fancy Green - Day 30 (16)
Lalique-Day28 (20)
Lalique-Day35 (25)
JAP L119-Day36 (20)
JAP L122-Day32 (20)
JAP L111-Day34 (20)
JAP L111-Day35 (20)
Lalique-Day37 (27)
JAP L122-Day40 (23)
JAP L122-Day39 (27)
JAP L122-Day38 (27)
JAP L111-Day30 (20)
JAP L122-Day34 (20)
JAP L122-Day25 (26)
JAP L122-Day26 (20)
JAP L111-Day33 (20)
JAP L119-Day34 (20)
JAP L122-Day27 (29)
JAP L111-Day36 (20)
JAP L122-Day28 (34)
JAP L122-Day30 (21)
JAP L119-Day30 (16)
Lalique-Day39 (21)
JAP L119-Day35 (20)
JAP L119-Day31 (13)
JAP L119-Day27 (28)
Lalique-Day38 (21)
Lalique-Day31 (33)
JAP Fancy Green - Day 32 (20)
JAP L119-Day32 (7)
JAP L119-Day28 (24)
JAP L122-Day37 (24)
JAP L111-Day31 (20)
JAP L122-Day36 (24)
Lalique-Day25 (20)
JAP L122-Day29 (40)
JAP Fancy Green - Day 31 (20)
JAP Fancy Green - Day 36 (28)
Lalique-Day27 (20)
JAP L119-Day29 (24)
JAP L122-Day35 (25)
Lalique-Day29 (13)
JAP L119-Day33 (15)
JAP L122-Day33 (21)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
JAP L111-Day 29
JAP Fancy Green - Day 29
JAP L111-Day27
Lalique-Day36
JAP Fancy Green - Day 34
JAP L122-Day31
JAP Fancy Green - Day 27
JAP Fancy Green - Day 28
JAP L111-Day28
Lalique-Day26
Lalique-Day40
JAP L111-Day32
JAP Fancy Green - Day 33
JAP Fancy Green - Day 35
JAP Fancy Green - Day 30
Lalique-Day28
Lalique-Day35
JAP L119-Day36
JAP L122-Day32
JAP L111-Day34
JAP L111-Day35
Lalique-Day37
JAP L122-Day40
JAP L122-Day39
JAP L122-Day38
JAP L111-Day30
JAP L122-Day34
JAP L122-Day25
JAP L122-Day26
JAP L111-Day33
JAP L119-Day34
JAP L122-Day27
JAP L111-Day36
JAP L122-Day28
JAP L122-Day30
JAP L119-Day30
Lalique-Day39
JAP L119-Day35
JAP L119-Day31
JAP L119-Day27
Lalique-Day38
Lalique-Day31
JAP Fancy Green - Day 32
JAP L119-Day32
JAP L119-Day28
JAP L122-Day37
JAP L111-Day31
JAP L122-Day36
Lalique-Day25
JAP L122-Day29
JAP Fancy Green - Day 31
JAP Fancy Green - Day 36
Lalique-Day27
JAP L119-Day29
JAP L122-Day35
Lalique-Day29
JAP L119-Day33
JAP L122-Day33
-
0
-
1
-
2
-
3
-
4
1155 imgs
577.5