CelebA
E431002
CelebA is a large-scale face attributes dataset widely used in computer vision research for tasks like facial recognition, attribute prediction, and generative modeling.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T4325993 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: CelebA Context triple: [torchvision, dataset, CelebA]
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A.
Moon-Face
Moon-Face is a friendly, moon-faced resident of the Magic Faraway Tree in Enid Blyton’s children’s books, known for his whimsical personality and love of fun adventures.
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B.
Manne Dipico
Manne Dipico is a South African politician who served as Premier of the Northern Cape province.
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C.
Demi
Demi is a fictional character from Louisa May Alcott’s novel "Jo's Boys," part of the continuation of the March family saga begun in "Little Women."
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D.
Gigi Perreau
Gigi Perreau is an American former child actress who appeared in numerous films and television shows from the 1940s onward, becoming one of the most recognizable young performers of her era.
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E.
Tati Gabrielle
Tati Gabrielle is an American actress known for her roles in television series like "Chilling Adventures of Sabrina" and "You" as well as in major films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: CelebA Target entity description: CelebA is a large-scale face attributes dataset widely used in computer vision research for tasks like facial recognition, attribute prediction, and generative modeling.
-
A.
Moon-Face
Moon-Face is a friendly, moon-faced resident of the Magic Faraway Tree in Enid Blyton’s children’s books, known for his whimsical personality and love of fun adventures.
-
B.
Manne Dipico
Manne Dipico is a South African politician who served as Premier of the Northern Cape province.
-
C.
Demi
Demi is a fictional character from Louisa May Alcott’s novel "Jo's Boys," part of the continuation of the March family saga begun in "Little Women."
-
D.
Gigi Perreau
Gigi Perreau is an American former child actress who appeared in numerous films and television shows from the 1940s onward, becoming one of the most recognizable young performers of her era.
-
E.
Tati Gabrielle
Tati Gabrielle is an American actress known for her roles in television series like "Chilling Adventures of Sabrina" and "You" as well as in major films.
- F. None of above. chosen
Statements (72)
| Predicate | Object |
|---|---|
| instanceOf |
benchmark dataset
ⓘ
face attributes dataset ⓘ image dataset ⓘ |
| contains |
celebrity face images
ⓘ
face images ⓘ |
| domain | computer vision ⓘ |
| hasApproximateNumberOfImages | 200000 ⓘ |
| hasAttribute |
5 o Clock Shadow
ⓘ
Arched Eyebrows ⓘ Attractive ⓘ Bags Under Eyes ⓘ Bald ⓘ Bangs ⓘ Big Lips ⓘ Big Nose ⓘ Black Hair ⓘ Blond Hair ⓘ Brown Hair ⓘ Bushy Eyebrows ⓘ Chubby ⓘ Double Chin ⓘ Eyeglasses ⓘ Goatee ⓘ Gray Hair ⓘ Heavy Makeup ⓘ High Cheekbones ⓘ Male ⓘ Mouth Slightly Open ⓘ Mustache ⓘ Narrow Eyes ⓘ No Beard ⓘ No Eyewear ⓘ Oval Face ⓘ Pale Skin ⓘ Pointy Nose ⓘ Receding Hairline ⓘ Rosy Cheeks ⓘ Sideburns ⓘ Smiling ⓘ Straight Hair ⓘ Wavy Hair ⓘ Wearing Earrings ⓘ Wearing Hat ⓘ Wearing Lipstick ⓘ Wearing Necklace ⓘ Wearing Necktie ⓘ Young ⓘ Young vs Old ⓘ |
| hasAttributeType | binary facial attributes ⓘ |
| hasDataSplit |
test set
ⓘ
training set ⓘ validation set ⓘ |
| hasImageResolution | 178x218 ⓘ |
| hasLicense | research only ⓘ |
| hasNumberOfAttributes | 40 ⓘ |
| hasNumberOfIdentities | 10000 ⓘ |
| hasProvider | The Chinese University of Hong Kong NERFINISHED ⓘ |
| isPopularBenchmarkFor |
face attribute classification
ⓘ
face editing ⓘ identity-preserving generation ⓘ |
| relatedDataset |
CelebA-HQ
NERFINISHED
ⓘ
CelebAMask-HQ NERFINISHED ⓘ |
| usedFor |
GAN training
ⓘ
attribute-conditioned image generation ⓘ domain adaptation in vision ⓘ face detection research ⓘ face recognition research ⓘ facial attribute prediction ⓘ fairness analysis in face recognition ⓘ generative modeling of faces ⓘ image-to-image translation ⓘ representation learning ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: CelebA Description of subject: CelebA is a large-scale face attributes dataset widely used in computer vision research for tasks like facial recognition, attribute prediction, and generative modeling.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.