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
HomepageSummary #
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.
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.
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.
Class ã…¤ | Images ã…¤ | Objects ã…¤ | Count on image average | Area on image average |
|---|---|---|---|---|
lipsâž” 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.
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.
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.
Object ID ã…¤ | Class ã…¤ | Image name click row to open | Image size height x width | Height ã…¤ | Height ã…¤ | Width ã…¤ | Width ã…¤ | Area ã…¤ |
|---|---|---|---|---|---|---|---|---|
1âž” | lips mask | original_3175.png | 960 x 655 | 86px | 8.96% | 185px | 28.24% | 1.66% |
2âž” | lips mask | original_4232.png | 953 x 736 | 76px | 7.97% | 153px | 20.79% | 1.13% |
3âž” | lips mask | original_2335.png | 960 x 681 | 61px | 6.35% | 153px | 22.47% | 0.97% |
4âž” | lips mask | original_1746.png | 999 x 666 | 49px | 4.9% | 132px | 19.82% | 0.64% |
5âž” | lips mask | original_4140.png | 706 x 508 | 45px | 6.37% | 105px | 20.67% | 0.88% |
6âž” | lips mask | original_3670.png | 903 x 726 | 67px | 7.42% | 101px | 13.91% | 0.74% |
7âž” | lips mask | original_2892.png | 900 x 601 | 49px | 5.44% | 101px | 16.81% | 0.5% |
8âž” | lips mask | original_2123.png | 673 x 502 | 49px | 7.28% | 116px | 23.11% | 0.56% |
9âž” | lips mask | original_4886.png | 957 x 1300 | 109px | 11.39% | 189px | 14.54% | 0.84% |
10âž” | 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}
}
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 = { jul },
note = { visited on 2024-07-27 },
}Download #
Please visit dataset homepage to download the data.
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