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Dataset Analytics
Generated on November 23, 2022 at 10:33 pm.
Number of Images
12,040
Number of Annotations
49,796
Average Image Size
3.74 mp
Median Image Ratio
1700x2200
tall
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
15,070
11,833
3,136
3,106
2,820
1,977
1,716
1,696
1,185
1,013
994
953
781
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Under Represented
642
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
175
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
162
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
147
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
140
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
133
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
128
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
104
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
96
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
81
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
49
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
46
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
43
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
42
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
39
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
27
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
23
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
23
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
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 (1700x2200).
12,040
> 1024x1024
1700px
2200px
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
11,998
wide
42
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
paragraph (15,070)
page number (11,833)
section (1,716)
degree (147)
title (175)
comittee (136)
author (162)
footnote (781)
equation number (1,696)
equation (3,136)
subsubsection (1,013)
reference text (994)
subsection (1,977)
figure (3,106)
figure caption (2,820)
chapter (642)
table of contents text (227)
table of contents title (97)
table caption (953)
table (1,185)
example (42)
list of content text (325)
list of content heading (165)
proposition number (83)
proposition (83)
figure title (23)
date (133)
university (140)
reference title (128)
example caption (31)
lemma number (81)
lemma (96)
theorem number (48)
theorem (49)
definition number (37)
definition (39)
abstract text (104)
scheme (46)
scheme caption (47)
corollary number (27)
corollary (27)
table title (23)
abstract heading (91)
algorithm (43)
claim number (9)
claim (10)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
paragraph
page number
section
degree
title
comittee
author
footnote
equation number
equation
subsubsection
reference text
subsection
figure
figure caption
chapter
table of contents text
table of contents title
table caption
table
example
list of content text
list of content heading
proposition number
proposition
figure title
date
university
reference title
example caption
lemma number
lemma
theorem number
theorem
definition number
definition
abstract text
scheme
scheme caption
corollary number
corollary
table title
abstract heading
algorithm
claim number
claim
-
1
-
2-4
-
5-7
-
8-10
-
11-13
-
14-16
-
17-19
-
20-22
-
23-25
-
26-28
8260 imgs
4130