Datasets:
Languages:
English
Size:
1K<n<10K
ArXiv:
Tags:
iiw
imageinwords
image-descriptions
image-captions
detailed-descriptions
hyper-detailed-descriptions
License:
roopalgarg
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update README.md
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README.md
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@@ -62,7 +62,7 @@ dataset = load_dataset('google/imageinwords', token=None, name="IIW-400", trust_
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ImageInWords (IIW), a carefully designed human-in-the-loop annotation framework for curating hyper-detailed image descriptions and a new dataset resulting from this process.
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We validate the framework through evaluations focused on the quality of the dataset and its utility for fine-tuning with considerations for readability, comprehensiveness, specificity, hallucinations, and human-likeness.
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This Data Card describes
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IIW dataset has two parts: human annotations and model outputs. The main purposes of this dataset are:
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1) to provide samples from SoTA human authored outputs to promote discussion on annotation guidelines to further improve the quality
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ImageInWords (IIW), a carefully designed human-in-the-loop annotation framework for curating hyper-detailed image descriptions and a new dataset resulting from this process.
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We validate the framework through evaluations focused on the quality of the dataset and its utility for fine-tuning with considerations for readability, comprehensiveness, specificity, hallucinations, and human-likeness.
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This Data Card describes **IIW-Benchmark: Eval Datasets**, a mixture of human annotated and machine generated data intended to help create and capture rich, hyper-detailed image descriptions.
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IIW dataset has two parts: human annotations and model outputs. The main purposes of this dataset are:
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1) to provide samples from SoTA human authored outputs to promote discussion on annotation guidelines to further improve the quality
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