Eyes Microcirculation - Dataset Ninja

Summary #

Eyes Microcirculation: Medicine Dataset for Eyes Semantic Segmentation Task is a dataset for instance segmentation, semantic segmentation, and object detection tasks. Possible applications of the dataset could be in the medical industry.

The dataset consists of 962 images with 4277 labeled objects belonging to 1 single class (vessel).

Images in the Eyes Microcirculation dataset have pixel-level instance segmentation annotations. Due to the nature of the instance segmentation task, it can be automatically transformed into a semantic segmentation (only one mask for every class) or object detection (bounding boxes for every object) tasks. There are 313 (33% of the total) unlabeled images (i.e. without annotations). There are 2 splits in the dataset: train (655 images) and test (307 images). The dataset was released in 2022.

Explore #

Eyes Microcirculation dataset has 962 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.

Sample annotation mask from Eyes Microcirculation

👀

Have a look at 962 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.

Rows 1-1 of 1

Class ㅤ	Images ㅤ	Objects ㅤ	Count on image average	Area on image average
vessel➔ mask	649	4277	6.59	1.41%

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.

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
vessel mask	4277	0.21%	7.09%	0%	3px	0.24%	935px	75.89%	162px	13.14%	3px	0.18%	1422px	87.56%

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.

Objects #

Table contains all 4277 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.

Rows 1-10 of 4277

Object ID ㅤ	Class ㅤ	Image name click row to open	Image size height x width	Height ㅤ	Height ㅤ	Width ㅤ	Width ㅤ	Area ㅤ
1➔	vessel mask	530.png	1232 x 1624	286px	23.21%	356px	21.92%	0.16%
2➔	vessel mask	530.png	1232 x 1624	40px	3.25%	86px	5.3%	0.03%
3➔	vessel mask	530.png	1232 x 1624	666px	54.06%	634px	39.04%	1.15%
4➔	vessel mask	530.png	1232 x 1624	187px	15.18%	74px	4.56%	0.04%
5➔	vessel mask	708.png	1232 x 1624	186px	15.1%	305px	18.78%	0.12%
6➔	vessel mask	708.png	1232 x 1624	34px	2.76%	23px	1.42%	0.01%
7➔	vessel mask	708.png	1232 x 1624	243px	19.72%	300px	18.47%	0.17%
8➔	vessel mask	708.png	1232 x 1624	602px	48.86%	768px	47.29%	0.86%
9➔	vessel mask	228.png	1232 x 1624	227px	18.43%	153px	9.42%	0.08%
10➔	vessel mask	228.png	1232 x 1624	283px	22.97%	366px	22.54%	0.24%

License #

License is unknown for the Eyes Microcirculation: Medicine Dataset for Eyes Semantic Segmentation Task dataset.

Citation #

If you make use of the Eyes Microcirculation data, please cite the following reference:

@dataset{Eyes Microcirculation,
  author={},
  title={Eyes Microcirculation: Medicine Dataset for Eyes Semantic Segmentation Task},
  year={2022},
  url={https://www.kaggle.com/datasets/b11gden/microcirculation}
}

Source

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

@misc{ visualization-tools-for-eyes-microcirculation-dataset,
  title = { Visualization Tools for Eyes Microcirculation Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/eyes-microcirculation } },
  url = { https://datasetninja.com/eyes-microcirculation },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { sep },
  note = { visited on 2024-09-15 },
}

Download #

Please visit dataset homepage to download the data.

. . .

Disclaimer #

Our gal from the legal dep told us we need to post this:

Dataset Ninja provides visualizations and statistics for some datasets that can be found online and can be downloaded by general audience. Dataset Ninja is not a dataset hosting platform and can only be used for informational purposes. The platform does not claim any rights for the original content, including images, videos, annotations and descriptions. Joint publishing is prohibited.

You take full responsibility when you use datasets presented at Dataset Ninja, as well as other information, including visualizations and statistics we provide. You are in charge of compliance with any dataset license and all other permissions. You are required to navigate datasets homepage and make sure that you can use it. In case of any questions, get in touch with us at hello@datasetninja.com.