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Lips Segmentation Dataset

506611
Tagentertainment
Tasksemantic segmentation
Release YearMade in 2022
Licenseunknown

Introduction #

For the Lips Segmentation Dataset, an equal quantity of male and female faces were employed to create lip masks. The images in this dataset are stored in PNG format.

For the images used for faces, it has been taken from: https://www.kaggle.com/datasets/ashwingupta3012/male-and-female-faces-dataset

Dataset LinkHomepage

Summary #

Lips Segmentation Dataset is a dataset for semantic segmentation and object detection tasks. It is applicable or relevant across various domains.

The dataset consists of 5066 images with 5062 labeled objects belonging to 1 single class (lips).

Images in the Lips Segmentation dataset have pixel-level semantic segmentation annotations. There are 4 (0% of the total) unlabeled images (i.e. without annotations). There are no pre-defined train/val/test splits in the dataset. The dataset was released in 2022.

Dataset Poster

Explore #

Lips Segmentation dataset has 5066 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 Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
OpenSample annotation mask from Lips SegmentationSample image from Lips Segmentation
πŸ‘€
Have a look at 5066 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
γ…€
Images
γ…€
Objects
γ…€
Count on image
average
Area on image
average
lipsβž”
mask
5062
5062
1
0.81%

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
lips
mask
5062
0.81%
4.65%
0.05%
7px
1.75%
697px
24%
78px
6.71%
14px
3.75%
1135px
60.05%

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 5062 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 5062
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”
lips
mask
original_3175.png
960 x 655
86px
8.96%
185px
28.24%
1.66%
2βž”
lips
mask
original_4232.png
953 x 736
76px
7.97%
153px
20.79%
1.13%
3βž”
lips
mask
original_2335.png
960 x 681
61px
6.35%
153px
22.47%
0.97%
4βž”
lips
mask
original_1746.png
999 x 666
49px
4.9%
132px
19.82%
0.64%
5βž”
lips
mask
original_4140.png
706 x 508
45px
6.37%
105px
20.67%
0.88%
6βž”
lips
mask
original_3670.png
903 x 726
67px
7.42%
101px
13.91%
0.74%
7βž”
lips
mask
original_2892.png
900 x 601
49px
5.44%
101px
16.81%
0.5%
8βž”
lips
mask
original_2123.png
673 x 502
49px
7.28%
116px
23.11%
0.56%
9βž”
lips
mask
original_4886.png
957 x 1300
109px
11.39%
189px
14.54%
0.84%
10βž”
lips
mask
original_2237.png
800 x 533
34px
4.25%
108px
20.26%
0.57%

License #

License is unknown for the Lips Segmentation Dataset dataset.

Citation #

If you make use of the Lips Segmentation data, please cite the following reference:

@dataset{Lips Segmentation,
  author={},
  title={Lips Segmentation Dataset},
  year={2022},
  url={https://www.kaggle.com/datasets/remainaplomb/lips-segmentation-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-lips-segmentation-dataset-dataset,
  title = { Visualization Tools for Lips Segmentation Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/lips-segmentation-dataset } },
  url = { https://datasetninja.com/lips-segmentation-dataset },
  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.

. . .

Disclaimer #

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