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military-object-detection-eay0m/4 (latest)
Dataset Analytics
Generated on March 20, 2024 at 7:30 pm.
Number of Images
2,250
Number of Annotations
4,361
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
756
635
405
374
372
359
355
350
346
550
478
283
275
274
244
246
246
240
142
103
74
62
61
72
74
64
69
64
54
48
37
37
43
35
40
37
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
8
square
1,958
wide
280
very wide
3
> 1.5:1
extremely wide
1
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Missile Launchers (409)
Tank (405)
Missile (355)
Aircraft (635)
Drone (359)
Weapons (756)
Person (350)
Truck (372)
Warship (374)
Helicopter (346)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Missile Launchers
Tank
Missile
Aircraft
Drone
Weapons
Person
Truck
Warship
Helicopter
-
0
-
1
-
2-7
-
8-13
-
14-19
-
20-25
-
26-31
-
32-37
-
38-43
-
44-49
-
50-55
1504 imgs
752