Dataset Analytics
Generated on December 08, 2023 at 8:06 am.
Number of Images
1,228
Number of Annotations
2,892
Average Image Size
16.05 mp
Median Image Ratio
3472x4624
tall
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
427
418
416
283
267
247
294
290
305
179
188
166
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
92
65
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
36
39
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 (3472x4624).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
1,070
square
14
wide
143
very wide
1
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
NG raw beef (418)
NG undercooked pork (251)
NG raw pork (283)
overcooked beef (267)
overcooked pork (247)
NG undercooked beef (262)
OK undercooked beef (321)
OK cooked beef (416)
OK cooked pork (427)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
NG raw beef
NG undercooked pork
NG raw pork
overcooked beef
overcooked pork
NG undercooked beef
OK undercooked beef
OK cooked beef
OK cooked pork
-
1
-
2-3
-
4-5
-
6-7
-
8-9
-
10-11
-
12-13
-
14-15
-
16-17
-
18-19
522 imgs
261