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self-driving-car-jfc1g/1 (latest)
Dataset Analytics
Generated on October 30, 2024 at 4:12 pm.
Number of Images
805
Number of Annotations
4,297
Average Image Size
1.12 mp
Median Image Ratio
1175x949
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
1,636
798
674
524
370
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Under Represented
139
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Under Represented
134
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Under Represented
22
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Under Represented
1138
560
476
355
254
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Under Represented
96
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Under Represented
113
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Under Represented
15
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Under Represented
377
158
128
115
74
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Under Represented
26
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Under Represented
12
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Under Represented
6
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Under Represented
121
80
70
54
42
17
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Under Represented
9
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Under Represented
1
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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, 1175x949.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
805
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
house (524)
road (798)
tree (1,636)
car (674)
castle (370)
sheep (134)
river (139)
tunnel (22)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
house
road
tree
car
castle
sheep
river
tunnel
-
1
-
2-3
-
4-5
-
6-7
-
8-9
-
10-11
-
12-13
-
14-15
-
16-17
285 imgs
142.5