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General Table Detection Dataset

202911157
Taggeneral
Taskobject detection
Release YearMade in 2022
Licenseunknown

Summary #

Dataset LinkHomepage

General Table Detection is a dataset for an object detection task. Possible applications of the dataset could be in the optical character recognition (OCR) domain. The dataset presented here is not the original one. Learn more on the dataset’s homepage.

The dataset consists of 2029 images with 2835 labeled objects belonging to 1 single class (table).

Images in the General Table Detection dataset have bounding box annotations. There are 97 (5% of the total) unlabeled images (i.e. without annotations). There is 1 split in the dataset: train (2029 images). The dataset was released in 2022.

Dataset Poster

Explore #

General Table Detection dataset has 2029 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
OpenSample annotation mask from General Table DetectionSample image from General Table Detection
👀
Have a look at 2029 images
Because of dataset's license preview is limited to 12 images
View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Search
Rows 1-1 of 1
Class
Images
Objects
Count on image
average
Area on image
average
table
rectangle
1932
2835
1.47
28.19%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Search
Rows 1-1 of 1
Class
Object count
Avg area
Max area
Min area
Min height
Min height
Max height
Max height
Avg height
Avg height
Min width
Min width
Max width
Max width
table
rectangle
2835
19.21%
87.94%
0.21%
15px
1.34%
3244px
98.3%
400px
26.86%
96px
13.6%
2885px
97.03%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Spatial Heatmap

Objects #

Table contains all 2835 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Search
Rows 1-10 of 2835
Object ID
Class
Image name
click row to open
Image size
height x width
Height
Height
Width
Width
Area
1
table
rectangle
1634_330.png
3300 x 2560
1722px
52.18%
1980px
77.34%
40.36%
2
table
rectangle
cTDaR_t10185.jpg
1124 x 797
540px
48.04%
682px
85.57%
41.11%
3
table
rectangle
cTDaR_t10426.jpg
1459 x 1031
479px
32.83%
455px
44.13%
14.49%
4
table
rectangle
cTDaR_t10371.jpg
1124 x 797
675px
60.05%
685px
85.95%
51.61%
5
table
rectangle
cTDaR_t10407.jpg
1123 x 794
202px
17.99%
707px
89.04%
16.02%
6
table
rectangle
cTDaR_t10407.jpg
1123 x 794
110px
9.8%
707px
89.04%
8.72%
7
table
rectangle
cTDaR_t10407.jpg
1123 x 794
78px
6.95%
707px
89.04%
6.18%
8
table
rectangle
44_96.jpg
828 x 717
220px
26.57%
520px
72.52%
19.27%
9
table
rectangle
62_108.jpg
741 x 493
364px
49.12%
394px
79.92%
39.26%
10
table
rectangle
cTDaR_t10026.jpg
1078 x 794
535px
49.63%
626px
78.84%
39.13%

License #

License is unknown for the General Table Detection: composition of datasets ICDAR 19, Marmot, Github dataset.

Source

Citation #

If you make use of the General Table Detection data, please cite the following reference:

@dataset{General Table Detection,
  title={General Table Detection: composition of datasets ICDAR 19, Marmot, Github},
  year={2022},
  url={https://www.kaggle.com/datasets/rhtsingh/general-table-recognition-dataset/data}
}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-general-table-detection-dataset,
  title = { Visualization Tools for General Table Detection Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/general-table-detection } },
  url = { https://datasetninja.com/general-table-detection },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { mar },
  note = { visited on 2024-03-05 },
}

Download #

Please visit dataset homepage to download the data.

. . .

Disclaimer #

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