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ml-fwzte/1 (latest)
Dataset Analytics
Generated on December 13, 2023 at 12:02 pm.
Number of Images
500
Number of Annotations
666
Average Image Size
1.05 mp
Median Image Ratio
1038x1000
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
74
50
40
34
29
28
27
26
25
24
23
22
22
22
20
20
20
20
20
20
20
20
20
20
20
53
34
26
21
14
17
19
17
14
16
15
15
16
14
14
14
13
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
16
14
14
14
14
14
14
14
18
11
12
10
7
7
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
8
6
6
4
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
4
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
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
5
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
8
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
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
2
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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.
The purple box indicates the median width by median height image (1038x1000).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
52
square
138
wide
307
very wide
2
> 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
selotip (28)
badak (24)
panda (22)
sapu (29)
truk (20)
penggaris (26)
bus (20)
harimau (23)
pohon_apel (20)
pohon_kelapa (22)
microwave (20)
kalkulator (20)
pohon_jeruk (20)
pohon_pisang (27)
ricecooker (20)
pensil (34)
motor (20)
mobil (20)
kemoceng (74)
domba (40)
pulpen (50)
mejabelajar (20)
zebra (25)
sepeda (20)
pohon_mangga (22)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
selotip
badak
panda
sapu
truk
penggaris
bus
harimau
pohon_apel
pohon_kelapa
microwave
kalkulator
pohon_jeruk
pohon_pisang
ricecooker
pensil
motor
mobil
kemoceng
domba
pulpen
mejabelajar
zebra
sepeda
pohon_mangga
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
427 imgs
213.5