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Middle Eastern Facial Expression Image Dataset
- futurebeeai.com
wavUpdated Aug 1, 2022
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EmailClick to copy linkLink copiedCiteFutureBee AI (2022). Middle Eastern Facial Expression Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-expression-middle-eastwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
Welcome to the Middle Eastern Facial Expression Image Dataset, curated to support the development of advanced facial expression recognition systems, biometric identification models, KYC verification processes, and a wide range of facial analysis applications. This dataset is ideal for training robust emotion-aware AI solutions.
Facial Expression Data
The dataset includes over 1000 high-quality facial expression images, grouped into participant-wise sets. Each participant contributes:
•Expression Images: 5 distinct facial images capturing common human emotions: Happy, Sad, Angry, Shocked, and NeutralDiversity & Representation
•Geographical Coverage: Individuals from Middle Eastern countries including Egypt, Jordan, Suadi Arabia, UAE, Tunisia, and more•Demographics: Participants aged 18 to 70 years, with a gender distribution of 60% male and 40% female•File Formats: All images are available in JPEG and HEIC formatsImage Quality & Capture Conditions
To ensure generalizability and robustness in model training, images were captured under varied real-world conditions:
•Lighting Conditions: Natural and artificial lighting to represent diverse scenarios•Background Variability: Indoor and outdoor backgrounds to enhance model adaptability•Device Quality: Captured using modern smartphones to ensure clarity and consistencyMetadata
Each participant's image set is accompanied by detailed metadata, enabling precise filtering and training:
•Unique Participant ID•File Name•Age•Gender•Country•Facial Expression Label•Demographic Information•File FormatThis metadata helps in building expression recognition models that are both accurate and inclusive.
Use Cases & Applications
This dataset is ideal for a variety of AI and computer vision applications, including:
•Facial Expression Recognition: Improve accuracy in detecting emotions like happiness, anger, or surprise•Biometric & Identity Systems: Enhance facial biometric authentication with expression variation handling•KYC & Identity Verification: Validate facial consistency in ID documents and selfies despite varied expressions•Generative AI Training: Support expression generation and animation in AI-generated facial images•Emotion-Aware Systems: Power human-computer interaction, mental health assessment, and adaptive learning appsSecure & Ethical Collection
•Data Security: All data is securely processed and stored on FutureBeeAI’s proprietary platform•Ethical Standards: Collection followed strict ethical guidelines ensuring participant privacy and informed consent•Informed Consent: All participants were made aware of the data use and provided written consentDataset Updates & Customization
To support evolving AI development needs, this dataset is regularly updated and can be tailored to project-specific requirements. Custom options include:
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East Asian Facial Expression Image Dataset
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). East Asian Facial Expression Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-expression-east-asiawavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredEast AsiaDataset funded byFutureBeeAIDescriptionIntroduction
Welcome to the East Asian Facial Expression Image Dataset, curated to support the development of advanced facial expression recognition systems, biometric identification models, KYC verification processes, and a wide range of facial analysis applications. This dataset is ideal for training robust emotion-aware AI solutions.
Facial Expression Data
The dataset includes over 2000 high-quality facial expression images, grouped into participant-wise sets. Each participant contributes:
•Expression Images: 5 distinct facial images capturing common human emotions: Happy, Sad, Angry, Shocked, and NeutralDiversity & Representation
•Geographical Coverage: Individuals from East Asian countries including China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more•Demographics: Participants aged 18 to 70 years, with a gender distribution of 60% male and 40% female•File Formats: All images are available in JPEG and HEIC formatsImage Quality & Capture Conditions
To ensure generalizability and robustness in model training, images were captured under varied real-world conditions:
•Lighting Conditions: Natural and artificial lighting to represent diverse scenarios•Background Variability: Indoor and outdoor backgrounds to enhance model adaptability•Device Quality: Captured using modern smartphones to ensure clarity and consistencyMetadata
Each participant's image set is accompanied by detailed metadata, enabling precise filtering and training:
•Unique Participant ID•File Name•Age•Gender•Country•Facial Expression Label•Demographic Information•File FormatThis metadata helps in building expression recognition models that are both accurate and inclusive.
Use Cases & Applications
This dataset is ideal for a variety of AI and computer vision applications, including:
•Facial Expression Recognition: Improve accuracy in detecting emotions like happiness, anger, or surprise•Biometric & Identity Systems: Enhance facial biometric authentication with expression variation handling•KYC & Identity Verification: Validate facial consistency in ID documents and selfies despite varied expressions•Generative AI Training: Support expression generation and animation in AI-generated facial images•Emotion-Aware Systems: Power human-computer interaction, mental health assessment, and adaptive learning appsSecure & Ethical Collection
•Data Security: All data is securely processed and stored on FutureBeeAI’s proprietary platform•Ethical Standards: Collection followed strict ethical guidelines ensuring participant privacy and informed consent•Informed Consent: All participants were made aware of the data use and provided written consentDataset Updates & Customization
To support evolving AI development needs, this dataset is regularly updated and can be tailored to project-specific requirements. Custom options include:
<div style="margin-top:10px; margin-bottom: 10px; padding-left: 30px; display: flex; gap: 16px; - F
South Asian Facial Expression Image Dataset
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). South Asian Facial Expression Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-expression-south-asianwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredSouth AsiaDataset funded byFutureBeeAIDescriptionIntroduction
Welcome to the South Asian Facial Expression Image Dataset, curated to support the development of advanced facial expression recognition systems, biometric identification models, KYC verification processes, and a wide range of facial analysis applications. This dataset is ideal for training robust emotion-aware AI solutions.
Facial Expression Data
The dataset includes over 2000 high-quality facial expression images, grouped into participant-wise sets. Each participant contributes:
•Expression Images: 5 distinct facial images capturing common human emotions: Happy, Sad, Angry, Shocked, and NeutralDiversity & Representation
•Geographical Coverage: Individuals from South Asian countries including India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, Maldives, and more•Demographics: Participants aged 18 to 70 years, with a gender distribution of 60% male and 40% female•File Formats: All images are available in JPEG and HEIC formatsImage Quality & Capture Conditions
To ensure generalizability and robustness in model training, images were captured under varied real-world conditions:
•Lighting Conditions: Natural and artificial lighting to represent diverse scenarios•Background Variability: Indoor and outdoor backgrounds to enhance model adaptability•Device Quality: Captured using modern smartphones to ensure clarity and consistencyMetadata
Each participant's image set is accompanied by detailed metadata, enabling precise filtering and training:
•Unique Participant ID•File Name•Age•Gender•Country•Facial Expression Label•Demographic Information•File FormatThis metadata helps in building expression recognition models that are both accurate and inclusive.
Use Cases & Applications
This dataset is ideal for a variety of AI and computer vision applications, including:
•Facial Expression Recognition: Improve accuracy in detecting emotions like happiness, anger, or surprise•Biometric & Identity Systems: Enhance facial biometric authentication with expression variation handling•KYC & Identity Verification: Validate facial consistency in ID documents and selfies despite varied expressions•Generative AI Training: Support expression generation and animation in AI-generated facial images•Emotion-Aware Systems: Power human-computer interaction, mental health assessment, and adaptive learning appsSecure & Ethical Collection
•Data Security: All data is securely processed and stored on FutureBeeAI’s proprietary platform•Ethical Standards: Collection followed strict ethical guidelines ensuring participant privacy and informed consent•Informed Consent: All participants were made aware of the data use and provided written consentDataset Updates & Customization
To support evolving AI development needs, this dataset is regularly updated and can be tailored to project-specific requirements. Custom options include:
<div style="margin-top:10px; margin-bottom: 10px; padding-left: 30px; display: flex; gap: 16px; align-items: 
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Middle Eastern Emotion Detection Image Dataset
https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Introduction
Welcome to the Middle Eastern Facial Expression Image Dataset, curated to support the development of advanced facial expression recognition systems, biometric identification models, KYC verification processes, and a wide range of facial analysis applications. This dataset is ideal for training robust emotion-aware AI solutions.
Facial Expression Data
The dataset includes over 1000 high-quality facial expression images, grouped into participant-wise sets. Each participant contributes:
Diversity & Representation
Image Quality & Capture Conditions
To ensure generalizability and robustness in model training, images were captured under varied real-world conditions:
Metadata
Each participant's image set is accompanied by detailed metadata, enabling precise filtering and training:
This metadata helps in building expression recognition models that are both accurate and inclusive.
Use Cases & Applications
This dataset is ideal for a variety of AI and computer vision applications, including:
Secure & Ethical Collection
Dataset Updates & Customization
To support evolving AI development needs, this dataset is regularly updated and can be tailored to project-specific requirements. Custom options include: