Datasets:
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README.md
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@@ -28,5 +28,27 @@ The captions are generated with the [pre-trained BLIP model](https://github.com/
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For each row the dataset contains `image` and `caption` keys. `image` is a varying size PIL jpeg, and `caption` is the accompanying text caption. Only a train split is provided.
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For each row the dataset contains `image` and `caption` keys. `image` is a varying size PIL jpeg, and `caption` is the accompanying text caption. Only a train split is provided.
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## Examples
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![vv1.jpg](https://github.com/CQUEEN-lpy/cqueenccc.github.io/blob/main/imgs/vivian_a%20group%20of%20people.jpg)
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> A group of people
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![vv10.jpg](https://github.com/CQUEEN-lpy/cqueenccc.github.io/blob/main/imgs/vivian_a%20person%20floating%20in%20the%20water.jpg)
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> person floating in the water
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![vv100.jpg](https://github.com/CQUEEN-lpy/cqueenccc.github.io/blob/main/imgs/vivian_a%20person%20standing%20next%20to%20a%20refrigerator.jpg)
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> a person standing next to a refrigerator
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## Citation
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If you use this dataset, please cite it as:
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```
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@misc{cqueenccc2023vivian,
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author = {cQueenccc},
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title = {Vivian Maier's photograph split BLIP captions},
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year={2023},
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howpublished= {\url{https://huggingface.co/datasets/cQueenccc/Vivian-Blip-Captions/}}
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}
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```
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