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component-detection-kjxdr/5 (latest)
Dataset Analytics
Generated on September 13, 2024 at 8:45 pm.
Number of Images
139
Number of Annotations
5,363
Average Image Size
7.78 mp
Median Image Ratio
3320x2294
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
2,105
1,058
861
530
471
104
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
89
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
64
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
29
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
2105
1058
861
530
471
104
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
89
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
64
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
29
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
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
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.
The purple box indicates the median width by median height image (3320x2294).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
15
square
12
wide
107
very wide
5
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Diffuser (2,105)
Return_Grill (861)
Damper (1,058)
VAV (530)
Exhaust_Grill (104)
Thermostat (64)
Fire_Damper (29)
Slot_Diffuser (471)
FPB (89)
Round_Diffuser (49)
RCP1 (3)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Diffuser
Return_Grill
Damper
VAV
Exhaust_Grill
Thermostat
Fire_Damper
Slot_Diffuser
FPB
Round_Diffuser
RCP1
-
0
-
1
-
2-33
-
34-65
-
66-97
-
98-129
-
130-161
-
162-193
-
194-225
-
226-257
-
258-289
-
290-321
75 imgs
37.5