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remote-sensing-data/2 (latest)
Dataset Analytics
Generated on July 27, 2024 at 12:54 pm.
Number of Images
1,000
Number of Annotations
1,102
Average Image Size
0.07 mp
Median Image Ratio
256x256
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
251
233
137
109
65
62
36
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Under Represented
34
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Under Represented
34
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Under Represented
33
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Under Represented
31
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Under Represented
29
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
29
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Under Represented
19
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Under Represented
170
166
97
79
46
41
25
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Under Represented
22
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
24
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
21
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
21
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
19
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
55
48
30
17
12
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Under Represented
13
8
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
10
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
10
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
9
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
26
19
10
13
7
8
3
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Under Represented
7
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
2
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Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
6
2
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.
All images are the same size, 256x256.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
1,000
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Airport (233)
City (137)
Forest (65)
Railway (34)
Grassland (251)
Beach (36)
Agriculture (31)
Desert (34)
Lake (29)
River (109)
Mountain (62)
Port (29)
Highway (33)
Parking (19)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Airport
City
Forest
Railway
Grassland
Beach
Agriculture
Desert
Lake
River
Mountain
Port
Highway
Parking
-
0
-
1
-
2
-
3
-
4
902 imgs
451