Asian Face Occlusion Dataset
The progress of video and photo editing applications relies heavily on high-quality datasets for machine learning models training. Our carefully selected datasets play a crucial role in enhancing the abilities of such applications, by offering accurate segmentation and recognition of different elements within images and videos.
The "Asian Face Occlusion Dataset" is tailored for the visual entertainment industry, comprising a vast collection of internet-collected images, each with a resolution exceeding 2736 x 3648 pixels. This dataset focuses on instance and semantic segmentation of Asian faces, specifically targeting individuals aged between 18 and 50 with a male-to-female ratio of 3:7. The unique aspect of this dataset is the inclusion of various face-covering items, providing a diverse range of occlusion scenarios.
Sample
![IMG_20220416_145017_hand-scaled.jpg](https://maadaa.ai/V1/api/media/upload/2022/11/IMG_20220416_145017_hand-scaled.jpg)
![IMG_20220416_145017_hand.png](https://maadaa.ai/V1/api/media/upload/2022/11/IMG_20220416_145017_hand.png)
![IMG_20220416_161925_hand-scaled.jpg](https://maadaa.ai/V1/api/media/upload/2022/11/IMG_20220416_161925_hand-scaled.jpg)
![IMG_20220416_161925_hand.png](https://maadaa.ai/V1/api/media/upload/2022/11/IMG_20220416_161925_hand.png)
Specification
Dataset ID
MD-Image-068
Dataset Name
Asian Face Occlusion Dataset
Data Type
![data-type](https://maadaa.ai/madaV1/static/upload/static/Frame 237@2x.webp)
Volume
About 44k
Data Collection
Internet collected images. Resolution is over 2736 x 3648.
Annotation
Semantic Segmentation,Instance Segmentation
Annotation Notes
This dataset collected Asian faces, aged between 18 and 50, with male-to-female ratio of 3:7, possessing a variety of face-covering items.
Application Scenarios
Visual Entertainment
Data Collections
This dataset includes around 44k images, featuring Asian faces with a variety of occlusions caused by face-covering items. The detailed segmentation of occluded faces makes this dataset particularly valuable for developing and refining facial recognition algorithms that can perform accurately in the presence of partial obstructions. Applications in visual entertainment, such as augmented reality (AR) makeup, virtual try-on applications, and advanced character modeling, can benefit from the nuanced understanding of facial features under various occlusion conditions provided by this dataset.
Quality Assurance
![Quality Assurance](https://maadaa.ai/V1/api/media/upload/8628ae0b-c9c8-4943-bd11-69e7c5a9e697_dataset-info-collections.webp)
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
FASSEG Repository [Learn more]
This collection offers datasets for frontal face segmentation (Frontal01 and Frontal02) and a dataset for faces in multiple poses (Multipose01).These datasets can be valuable for training models to perform face segmentation in different orientations and conditions.
Related products
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