Dataset Analytics
Generated on April 24, 2024 at 2:31 pm.
Number of Images
3,960
Number of Annotations
4,687
Average Image Size
0.52 mp
Median Image Ratio
709x720
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
450
404
369
296
259
254
233
231
213
208
206
177
164
155
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
155
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Under Represented
146
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
139
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
137
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
136
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
129
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
118
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
108
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
302
288
257
214
182
169
166
173
147
136
141
125
109
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Under Represented
106
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
111
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
103
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
98
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
97
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
92
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
93
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
85
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
73
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
78
80
53
54
56
45
39
43
44
44
37
34
29
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
28
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
28
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
30
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
31
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
26
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
25
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
38
32
29
23
29
22
19
23
28
21
18
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
13
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
13
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
14
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 (709x720).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
2,205
square
1,293
wide
460
very wide
2
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
PDT-500 (139)
7UP-500 (137)
Andes-lata (404)
Pepsi-500 (136)
Stella-lata (206)
Pepsi-lata (231)
Patagonia-lata (450)
Quilmes-lata (259)
PDT-lata (155)
Corona-lata (296)
Corona-330 (233)
Brahma-lata (254)
Mirinda-lata (155)
7UP-lata (213)
Gatorade (369)
Bud-lata (208)
AwaFrut-500 (118)
Mirinda-500 (146)
DobleMalta-lata (177)
1890-lata (129)
Eco-500 (108)
Redbull (164)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
PDT-500
7UP-500
Andes-lata
Pepsi-500
Stella-lata
Pepsi-lata
Patagonia-lata
Quilmes-lata
PDT-lata
Corona-lata
Corona-330
Brahma-lata
Mirinda-lata
7UP-lata
Gatorade
Bud-lata
AwaFrut-500
Mirinda-500
DobleMalta-lata
1890-lata
Eco-500
Redbull
-
0
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
3589 imgs
1794.5