Update README.md
Browse files10,000 synthetic face images with metadata. Based on model-released photos. Royalty-free. Can be used for any research purpose except for the ones violating the law. Worldwide. No time limitations.
README.md
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license: afl-3.0
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---
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---
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license: afl-3.0
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task_categories:
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- image-classification
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- image-segmentation
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size_categories:
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- 1K<n<10K
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---
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Academic Dataset by Generated Photos
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See at https://generated.photos/datasets#research-dataset
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The free dataset is made to help students and teachers with any research. It contains 10,000 photos with equal distribution of race and gender parameters.
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If you need a dataset with different parameters or quantity, contact us at [email protected].
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We will appreciate it if you let us know about the research outcome!
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----------------------------------------------------------
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Terms of use
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You can use and adapt it for any research purposes, as long as you:
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(a) give appropriate credit by citing in your paper,
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(b) put a link to Generated Photos website in case of publishing your paper or results of your research or a related article. Example of an attribution line: Academic Dataset by Generated Photos https://generated.photos/datasets
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You can redistribute it within your university, but please follow these rules:
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(a) indicate any changes that you've made,
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(b) make sure that your fellow student or teacher you pass this dataset is aware of the terms of use described in this file.
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For more information about datasets and license, please visit Generated Photos website:
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https://generated.photos/datasets
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https://generated.photos/faq
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https://generated.photos/terms-and-conditions
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----------------------------------------------------------
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Photos
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All the photos are 100% synthetic. Based on model-released photos. Royalty-free. Can be used for any research purpose except for the ones violating the law. Worldwide. No time limitations.
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Quantity 10,000
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Quality 256x256px
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Diversity Ethnicity, gender
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Metadata
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The JSON files contain the metadata for each image in a machine-readable format, including:
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(1) FaceLandmarks: mouth, right_eyebrow, left_eyebrow, right_eye, left_eye, nose, jaw.
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(2) FaceAttributes: headPose, gender, makeup, emotion, facialHair, hair (hairColor, hairLength, bald), occlusion, ethnicity, eye_color, smile, age
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Please contact [email protected] for business and press inquiries and other questions.
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