
# Disclaimer
This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions

# Dataset Card for One Piece BLIP captions

_Dataset used to train [One Piece text to image model](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning)_

BLIP generated captions for One piece images collected from the web. Original images were obtained from [Anime Characters](https://www.animecharactersdatabase.com) and captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).

For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL jpeg, and `text` is the accompanying text caption. Only a train split is provided.


## Examples


![pk1.jpg](https://ami.animecharactersdatabase.com/uploads/chars/11076-782139445.jpg)
> a man in a straw hat

![pk10.jpg](https://www.animecharactersdatabase.com/uploads/chars/5457-1977266515.png)
> a man in a green coat holding two swords

![pk100.jpg](https://ami.animecharactersdatabase.com/uploads/chars/12602-925960129.jpg)
> a man with red hair and a black coat

## Citation

If you use this dataset, please cite it as:

```
@misc{yayab2022onepiece,
      author = {YaYaB},
      title = {One Piece BLIP captions},
      year={2022},
      howpublished= {\url{https://huggingface.co/datasets/YaYaB/onepiece-blip-captions/}}
} 
```
task_categories:text-to-image annotations_creators:machine-generated language_creators:other multilinguality:monolingual size_categories:n<1K source_datasets:YaYaB/onepiece-blip-captions language:en license:cc-by-nc-sa-4.0 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["YaYaB/onepiece-blip-captions"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "One Piece BLIP captions", "tags": []}
TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-YaYaB/onepiece-blip-captions #language-English #license-cc-by-nc-sa-4.0 #region-us 


# Disclaimer
This was inspired from URL

# Dataset Card for One Piece BLIP captions

_Dataset used to train One Piece text to image model_

BLIP generated captions for One piece images collected from the web. Original images were obtained from Anime Characters and captioned with the pre-trained BLIP model.

For each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accompanying text caption. Only a train split is provided.


## Examples


!URL
> a man in a straw hat

!URL
> a man in a green coat holding two swords

!URL
> a man with red hair and a black coat

If you use this dataset, please cite it as:


# Disclaimer
This was inspired from URL # Dataset Card for One Piece BLIP captions

_Dataset used to train One Piece text to image model_

BLIP generated captions for One piece images collected from the web. Original images were obtained from Anime Characters and captioned with the pre-trained BLIP model.

For each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accompanying text caption. Only a train split is provided. ## Examples


!URL
> a man in a straw hat

!URL
> a man in a green coat holding two swords

!URL
> a man with red hair and a black coat

If you use this dataset, please cite it as:
TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-YaYaB/onepiece-blip-captions #language-English #license-cc-by-nc-sa-4.0 #region-us 
 # Disclaimer
This was inspired from URL # Dataset Card for One Piece BLIP captions

_Dataset used to train One Piece text to image model_

BLIP generated captions for One piece images collected from the web. Original images were obtained from Anime Characters and captioned with the pre-trained BLIP model.

For each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accompanying text caption. Only a train split is provided. ## Examples


!URL
> a man in a straw hat

!URL
> a man in a green coat holding two swords

!URL
> a man with red hair and a black coat

If you use this dataset, please cite it as: