Flickr30k
E899059
Flickr30k is a large-scale image dataset of 31,000 photographs each paired with multiple human-written captions, widely used for training and evaluating image captioning and vision-language models.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Flickr30k canonical | 3 |
| Flickr30k dataset | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11003512 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flickr30k Context triple: [Show and Tell: A Neural Image Caption Generator, usesDataset, Flickr30k]
-
A.
Flickr
Flickr is an online photo and video hosting and sharing platform that became one of the earliest popular social media sites for photographers and casual users alike.
-
B.
Images and Words
Images and Words is a landmark 1992 progressive metal album by Dream Theater, widely credited with bringing the band mainstream recognition and defining their signature sound.
-
C.
Britannica ImageQuest
Britannica ImageQuest is a curated educational image database offering millions of rights-cleared photos and illustrations for teaching and learning.
-
D.
CLIP
CLIP is an OpenAI model that learns joint representations of images and text, enabling tasks like zero-shot image classification and natural language-based image retrieval.
-
E.
Photolibrary
Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flickr30k Target entity description: Flickr30k is a large-scale image dataset of 31,000 photographs each paired with multiple human-written captions, widely used for training and evaluating image captioning and vision-language models.
-
A.
Flickr
Flickr is an online photo and video hosting and sharing platform that became one of the earliest popular social media sites for photographers and casual users alike.
-
B.
Images and Words
Images and Words is a landmark 1992 progressive metal album by Dream Theater, widely credited with bringing the band mainstream recognition and defining their signature sound.
-
C.
Britannica ImageQuest
Britannica ImageQuest is a curated educational image database offering millions of rights-cleared photos and illustrations for teaching and learning.
-
D.
CLIP
CLIP is an OpenAI model that learns joint representations of images and text, enabling tasks like zero-shot image classification and natural language-based image retrieval.
-
E.
Photolibrary
Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
benchmark dataset
ⓘ
image dataset ⓘ vision-language dataset ⓘ |
| containsContentType |
activities
ⓘ
everyday scenes ⓘ objects ⓘ people ⓘ |
| domain |
computer vision
ⓘ
multimodal AI ⓘ natural language processing ⓘ |
| hasAnnotationGranularity | image-level descriptions ⓘ |
| hasAnnotationType | sentence-level captions ⓘ |
| hasApproximateNumberOfImages | 31000 ⓘ |
| hasCaptionsPerImage | 5 ⓘ |
| hasCollectionPlatform |
Flickr website
ⓘ
linked to:
Flickr
|
| hasDataModality |
images
ⓘ
text captions ⓘ |
| hasDataSplit |
test set
ⓘ
training set ⓘ validation set ⓘ |
| hasInputFormat | image plus multiple captions ⓘ |
| hasLanguage | English ⓘ |
| hasLicense | research use ⓘ |
| hasNumberOfImages | 31000 ⓘ |
| hasScaleComparedTo | larger than Flickr8k ⓘ |
| hasTask |
generate caption from image
ⓘ
retrieve caption from image ⓘ retrieve image from caption ⓘ |
| hasTotalCaptions | 155000 ⓘ |
| hasTypicalImageResolution | variable ⓘ |
| imagesSource | Flickr ⓘ |
| isSuccessorOf | Flickr8k ⓘ |
| isUsedToEvaluate |
caption quality
ⓘ
image-text alignment ⓘ multimodal representation learning ⓘ |
| isWidelyUsedIn |
academic research
ⓘ
image captioning benchmarks ⓘ vision-language evaluation ⓘ |
| usedFor |
benchmarking captioning systems
ⓘ
evaluation of models ⓘ image captioning ⓘ image-text retrieval ⓘ multimodal learning ⓘ natural language description of images ⓘ training models ⓘ vision-language modeling ⓘ |
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.
Instruction
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.
Input
Subject: Flickr30k Description of subject: Flickr30k is a large-scale image dataset of 31,000 photographs each paired with multiple human-written captions, widely used for training and evaluating image captioning and vision-language models.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Flickr30k