Dataset Analytics
Generated on March 04, 2024 at 1:05 pm.
Number of Images
1,208
Number of Annotations
8,232
Average Image Size
12.19 mp
Median Image Ratio
3024x4032
tall
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
818
755
717
666
514
485
479
439
408
404
403
398
374
308
287
192
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
191
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
141
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
107
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
82
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
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
690
646
624
568
437
402
406
371
344
344
345
340
324
267
242
164
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
160
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
117
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
90
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
74
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
50
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
88
72
58
75
54
42
40
42
41
30
26
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
32
21
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
22
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
14
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
9
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
40
37
35
23
29
26
24
18
17
20
15
13
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
9
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
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
1
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
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 (3024x4032).
1,208
> 1024x1024
3024px
4032px
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
692
wide
516
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Charging-cable (514)
Lecture-notes (479)
Markers (485)
Water bottle (287)
Watch (404)
Calculator (755)
Bag (666)
Pen (818)
Earphones (717)
iPad-Air (403)
Wallet (439)
Keyboard (141)
Mouse (191)
Keys (308)
Laptop (82)
Apple-Pencil (374)
Mobile phone (408)
StudentID_card (398)
Glasses (192)
Screen (107)
PC (60)
iPad-Pro (4)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Charging-cable
Lecture-notes
Markers
Water bottle
Watch
Calculator
Bag
Pen
Earphones
iPad-Air
Wallet
Keyboard
Mouse
Keys
Laptop
Apple-Pencil
Mobile phone
StudentID_card
Glasses
Screen
PC
iPad-Pro
-
0
-
1
-
2-4
-
5-7
-
8-10
-
11-13
-
14-16
-
17-19
-
20-22
637 imgs
318.5