Dataset Analytics
Generated on November 23, 2023 at 7:35 am.
Number of Images
7,201
Number of Annotations
14,962
Average Image Size
0.30 mp
Median Image Ratio
600x480
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
1,087
997
950
939
780
711
689
632
623
598
414
380
380
362
354
353
330
305
291
285
273
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Under Represented
245
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
244
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
231
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
221
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
214
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
214
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
207
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
200
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
180
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
178
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
176
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
167
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
155
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
125
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
112
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
102
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
83
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
83
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
937
676
575
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
334
711
689
413
261
233
323
300
380
78
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
294
149
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
215
82
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
273
95
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
183
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
169
70
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
214
89
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
200
180
148
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
119
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
130
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
59
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
102
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
48
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
60
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
150
164
279
135
241
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
152
92
201
61
60
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
93
42
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
79
63
96
273
38
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
54
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
49
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
42
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
33
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
37
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
137
11
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
101
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
157
96
804
205
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
67
270
164
30
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
20
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
191
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
125
52
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
127
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
247
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
96
61
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
182
23
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
116
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
76
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
12
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
24
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
55
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
11
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
25
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
7
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 (600x480).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
1,177
square
3,603
wide
2,398
very wide
18
> 1.5:1
extremely wide
5
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
cucumber (354)
lettuce (180)
strawberry (950)
orange (414)
tomato (330)
asparagus (632)
chicken_leg (231)
kimchi (305)
eggplant (291)
squid (1,087)
potato (598)
chili (939)
oyster (155)
carrot (285)
spam (125)
sausage (380)
salmon (997)
milk (178)
dubu (689)
egg (623)
banana (273)
pork (245)
broccoli (244)
cremy (83)
shrimp (167)
beef (214)
sweet_pumpkin (711)
zucchini (200)
chicken (362)
lemon (176)
green_onion (207)
avocado (380)
chicken_breast (92)
bean_sprouts (83)
cabbage (221)
slicecheese (102)
garlic (780)
cheese (214)
onion (353)
sweet_potato (112)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
cucumber
lettuce
strawberry
orange
tomato
asparagus
chicken_leg
kimchi
eggplant
squid
potato
chili
oyster
carrot
spam
sausage
salmon
milk
dubu
egg
banana
pork
broccoli
cremy
shrimp
beef
sweet_pumpkin
zucchini
chicken
lemon
green_onion
avocado
chicken_breast
bean_sprouts
cabbage
slicecheese
garlic
cheese
onion
sweet_potato
-
0
-
1
-
2-9
-
10-17
-
18-25
-
26-33
-
34-41
-
42-49
-
50-57
-
58-65
-
66-73
4130 imgs
2065