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Captcha Object Detection Dataset

100000541
Tagsecurity
Taskobject detection
Release YearMade in 2021
License3-Clause BSD License
Download920 MB

Introduction #

Youtham Joseph

Captcha Object Detection is a dataset for an object detection task and it consists of 100000 images with 650000 labeled objects belonging to 54 different classes including numbers (1, 2, 3 … etc.) and letters: (M, d, Y, R, 6, C, f, s, a, J, y, 2, t, Q, G, K, E, g, k, c, z, 9, p, P, S, and more). Dataset made for defining captcha elements. It is generated using a forked version of the Captcha library by lepture.

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Dataset LinkHomepageDataset LinkGitHub

Summary #

Captcha Object Detection is a dataset for an object detection task. Possible applications of the dataset could be in the optical character recognition (OCR) domain and security industry.

The dataset consists of 100000 images with 650000 labeled objects belonging to 54 different classes including V, n, 8, and other: M, d, Y, R, 6, C, f, s, a, J, y, 2, t, Q, G, K, E, g, k, c, z, 9, p, P, S, and 26 more.

Images in the Captcha Object Detection dataset have bounding box annotations. All images are labeled (i.e. with annotations). There are no pre-defined train/val/test splits in the dataset. The dataset was released in 2021.

Dataset Poster

Explore #

Captcha Object Detection dataset has 100000 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 Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
OpenSample annotation mask from Captcha Object DetectionSample image from Captcha Object Detection
πŸ‘€
Have a look at 100000 images
View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 54 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 1-10 of 54
Class
γ…€
Images
γ…€
Objects
γ…€
Count on image
average
Area on image
average
Vβž”
rectangle
11593
12229
1.05
12.02%
nβž”
rectangle
11567
12177
1.05
10.35%
8βž”
rectangle
11547
12148
1.05
10.31%
Mβž”
rectangle
11541
12226
1.06
14.62%
dβž”
rectangle
11530
12193
1.06
10.38%
Yβž”
rectangle
11521
12153
1.05
12%
Rβž”
rectangle
11515
12164
1.06
12.82%
6βž”
rectangle
11508
12123
1.05
10.35%
Cβž”
rectangle
11503
12135
1.05
12.93%
fβž”
rectangle
11500
12092
1.05
6.52%

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 1-10 of 54
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
V
rectangle
12229
11.41%
21.53%
5.12%
41px
68.33%
53px
88.33%
47px
78.84%
12px
7.5%
39px
24.38%
M
rectangle
12226
13.81%
27.05%
6.41%
41px
68.33%
53px
88.33%
47px
78.85%
15px
9.38%
49px
30.62%
d
rectangle
12193
9.84%
18.22%
4.7%
41px
68.33%
53px
88.33%
47px
78.89%
11px
6.88%
33px
20.62%
n
rectangle
12177
9.84%
18.22%
4.27%
41px
68.33%
53px
88.33%
47px
78.82%
10px
6.25%
33px
20.62%
R
rectangle
12164
12.16%
23.19%
5.55%
41px
68.33%
53px
88.33%
47px
78.9%
13px
8.12%
42px
26.25%
Y
rectangle
12153
11.39%
21.53%
5.12%
41px
68.33%
53px
88.33%
47px
78.92%
12px
7.5%
39px
24.38%
8
rectangle
12148
9.82%
18.22%
4.7%
41px
68.33%
53px
88.33%
47px
78.88%
11px
6.88%
33px
20.62%
C
rectangle
12135
12.27%
23.62%
5.55%
41px
68.33%
54px
90%
48px
79.42%
13px
8.12%
42px
26.25%
a
rectangle
12134
9.86%
18.22%
4.27%
41px
68.33%
53px
88.33%
47px
79.01%
10px
6.25%
33px
20.62%
2
rectangle
12131
9.86%
18.22%
4.27%
41px
68.33%
53px
88.33%
47px
78.93%
10px
6.25%
33px
20.62%

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 100011 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 100011
Object ID
γ…€
Class
γ…€
Image name
click row to open
Image size
height x width
Height
γ…€
Height
γ…€
Width
γ…€
Width
γ…€
Area
γ…€
1βž”
q
rectangle
58198.png
60 x 160
49px
81.67%
16px
10%
8.17%
2βž”
b
rectangle
58198.png
60 x 160
53px
88.33%
22px
13.75%
12.15%
3βž”
8
rectangle
58198.png
60 x 160
48px
80%
19px
11.88%
9.5%
4βž”
3
rectangle
58198.png
60 x 160
48px
80%
20px
12.5%
10%
5βž”
2
rectangle
58198.png
60 x 160
53px
88.33%
21px
13.12%
11.59%
6βž”
N
rectangle
58198.png
60 x 160
48px
80%
25px
15.62%
12.5%
7βž”
p
rectangle
58198.png
60 x 160
58px
96.67%
19px
11.88%
11.48%
8βž”
6
rectangle
26607.png
60 x 160
41px
68.33%
19px
11.88%
8.11%
9βž”
N
rectangle
26607.png
60 x 160
41px
68.33%
25px
15.62%
10.68%
10βž”
v
rectangle
26607.png
60 x 160
48px
80%
21px
13.12%
10.5%

License #

Captcha Object Detection is under 3-Clause BSD License license.

Source

Citation #

If you make use of the Captcha Object Detection data, please cite the following reference:

@dataset{Captcha Object Detection,
  author={Youtham Joseph},
  title={Captcha Object Detection},
  year={2021},
  url={https://www.kaggle.com/datasets/youthamj/captchaobjectdetection}
}

Source

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

@misc{ visualization-tools-for-captcha-object-detection-dataset,
  title = { Visualization Tools for Captcha Object Detection Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/captcha-object-detection } },
  url = { https://datasetninja.com/captcha-object-detection },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { jun },
  note = { visited on 2024-06-25 },
}

Download #

Dataset Captcha Object Detection can be downloaded in Supervisely format:

As an alternative, it can be downloaded with dataset-tools package:

pip install --upgrade dataset-tools

… using following python code:

import dataset_tools as dtools

dtools.download(dataset='Captcha Object Detection', dst_dir='~/dataset-ninja/')

Make sure not to overlook the python code example available on the Supervisely Developer Portal. It will give you a clear idea of how to effortlessly work with the downloaded dataset.

The data in original format can be downloaded here.

. . .

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