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malaysian-food-recognition-ourez/5 (latest)
Dataset Analytics
Generated on August 29, 2024 at 8:17 am.
Average Image Size
0.48 mp
Median Image Ratio
768x625
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
294
239
230
212
210
193
190
184
80
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Under Represented
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Under Represented
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Under Represented
72
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
62
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
41
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
209
171
159
140
150
138
140
131
54
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
51
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
44
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
27
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
50
49
51
45
40
40
35
37
18
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
14
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
12
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
35
19
20
27
20
15
15
16
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
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
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 (768x625).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
88
square
115
wide
381
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Fried-Banana (212)
Mee-Rebus (72)
Hokkien-Mee (62)
Rice (210)
Boiled-Egg (230)
Cucumber (193)
Sambal (184)
Anchovies (190)
Peanuts (239)
Char-Kuey-Teow (79)
Fried-Egg (41)
Fried-Chicken (73)
Curry-Puff (294)
Fried-Rice (80)
Chicken-Rendang (62)
