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Bone Classification and Detection Dataset

286531
Tagmedical
Taskobject detection
Release YearMade in 2021
Licenseunknown

Summary #

Dataset LinkHomepage

Bone Classification and Detection Dataset is a dataset for an object detection task. Possible applications of the dataset could be in the medical industry.

The dataset consists of 2865 images with 3012 labeled objects belonging to 3 different classes including wrist, elbow, and hand.

Images in the Bone Classification and Detection Dataset dataset have bounding box annotations. All images are labeled (i.e. with annotations). There are 2 splits in the dataset: train (2565 images) and valid (300 images). The dataset was released in 2021.

Dataset Poster

Explore #

Bone Classification and Detection Dataset dataset has 2865 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 Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
OpenSample annotation mask from Bone Classification and Detection DatasetSample image from Bone Classification and Detection Dataset
👀
Have a look at 2865 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 3 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 1-3 of 3
Class
Images
Objects
Count on image
average
Area on image
average
wrist
rectangle
1000
1085
1.08
6.43%
elbow
rectangle
1000
1004
1
9.44%
hand
rectangle
865
923
1.07
37.23%

Co-occurrence matrix #

Co-occurrence matrix is an extremely valuable tool that shows you the images for every pair of classes: how many images have objects of both classes at the same time. If you click any cell, you will see those images. We added the tooltip with an explanation for every cell for your convenience, just hover the mouse over a cell to preview the description.

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 1-3 of 3
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
wrist
rectangle
1085
5.93%
54.42%
0.88%
42px
8.2%
385px
75.2%
88px
17.8%
42px
8.2%
364px
77.23%
elbow
rectangle
1004
9.4%
23.13%
1.14%
43px
8.4%
263px
57.64%
139px
28.55%
51px
9.96%
232px
60.88%
hand
rectangle
923
34.9%
65.91%
5.91%
93px
22.91%
379px
74.02%
281px
56.03%
87px
21.38%
418px
93.74%

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 3012 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 3012
Object ID
Class
Image name
click row to open
Image size
height x width
Height
Height
Width
Width
Area
1
hand
rectangle
el_525.png
512 x 406
306px
59.77%
325px
80.05%
47.84%
2
elbow
rectangle
dirsek_827.png
512 x 493
180px
35.16%
175px
35.5%
12.48%
3
hand
rectangle
el_522.png
512 x 405
321px
62.7%
320px
79.01%
49.54%
4
wrist
rectangle
bilek_207.png
512 x 424
68px
13.28%
95px
22.41%
2.98%
5
wrist
rectangle
bilek_435.png
512 x 309
167px
32.62%
187px
60.52%
19.74%
6
hand
rectangle
el_408.png
512 x 373
342px
66.8%
296px
79.36%
53.01%
7
elbow
rectangle
dirsek_73.png
512 x 250
168px
32.81%
128px
51.2%
16.8%
8
elbow
rectangle
dirsek_468.png
512 x 507
177px
34.57%
156px
30.77%
10.64%
9
hand
rectangle
el_295.png
512 x 346
306px
59.77%
253px
73.12%
43.7%
10
hand
rectangle
el_235.png
512 x 353
330px
64.45%
231px
65.44%
42.18%

License #

License is unknown for the Bone Classification and Detection Dataset dataset.

Source

Citation #

If you make use of the Bone Classification and Detection Dataset data, please cite the following reference:

@dataset{Bone Classification and Detection Dataset,
  author={Ardacan Uçkan},
  title={Bone Classification and Detection Dataset},
  year={2021},
  url={https://www.kaggle.com/datasets/ardacanuckan/bone-classification-and-detection-dataset}
}

Source

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

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

Download #

Please visit dataset homepage to download the data.

. . .

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