Dataset Analytics
Generated on November 27, 2023 at 5:23 pm.
Number of Images
669
Number of Annotations
17,186
Average Image Size
0.41 mp
Median Image Ratio
640x640
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
9,335
6,165
1,686
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5407
5059
1356
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1696
605
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
163
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2232
501
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
167
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 (640x640).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
182
square
404
wide
81
very wide
2
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Lines (6,165)
Braille-Blocks (1,686)
Dots (9,335)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Lines
Braille-Blocks
Dots
-
0
-
1
-
2-25
-
26-49
-
50-73
-
74-97
-
98-121
-
122-145
-
146-169
-
170-193
-
194-217
-
218-241
385 imgs
192.5