Standard DatasetsIndoor Facial 75 Expressions 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 "Indoor Facial 75 Expressions Dataset" enriches the internet, media, entertainment, and mobile sectors with an in-depth exploration of human emotions. It features 60 individuals in indoor settings, showcasing a balanced gender representation and varied postures, with 75 distinct facial expressions per person. This dataset is tagged with facial expression categories, making it an invaluable tool for emotion recognition and interactive applications.
Sample
Specification
Dataset ID
MD-Image-011
Dataset Name
Indoor Facial 75 Expressions Dataset
Data Type
ImageVolume
About 20k
Data Collection
Total 60 persons in indoor scenario, with balanced agender and variable postures, 75 facial expressions per person.
Annotation
Key Points
Annotation Notes
Facial expression category tags.
Application Scenarios
Media & Entertainment;Internet;Mobile
Data Collections
This collection totals around 20k images, capturing 60 individuals across a spectrum of 75 facial expressions in indoor environments. Each expression is meticulously tagged, providing a rich dataset for developing advanced facial recognition technologies, enhancing user interaction in internet services, media content, and mobile applications with a nuanced understanding of human emotions.
Quality Assurance
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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