
# Dataset Card for Pokémon BLIP captions

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

BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from [FastGAN-pytorch](https://github.com/odegeasslbc/FastGAN-pytorch) 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://s3.amazonaws.com/moonup/production/uploads/1663756580442-62bd5f951e22ec84279820e8.jpeg)
> a drawing of a green pokemon with red eyes

![pk10.jpg](https://s3.amazonaws.com/moonup/production/uploads/1663756580225-62bd5f951e22ec84279820e8.jpeg)
> a green and yellow toy with a red nose

![pk100.jpg](https://s3.amazonaws.com/moonup/production/uploads/1663756579985-62bd5f951e22ec84279820e8.jpeg)
> a red and white ball with an angry look on its face

## Citation

If you use this dataset, please cite it as:

```
@misc{pinkney2022pokemon,
      author = {Pinkney, Justin N. M.},
      title = {Pokemon BLIP captions},
      year={2022},
      howpublished= {\url{https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions/}}
} 
```
task_categories:text-to-image annotations_creators:machine-generated language_creators:other multilinguality:monolingual size_categories:n<1K source_datasets:huggan/few-shot-pokemon 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": ["huggan/few-shot-pokemon"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "Pok\u00e9mon BLIP captions", "tags": []}
TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-huggan/few-shot-pokemon #language-English #license-cc-by-nc-sa-4.0 #region-us 


# Dataset Card for Pokémon BLIP captions

_Dataset used to train Pokémon text to image model_

BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from FastGAN-pytorch 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 drawing of a green pokemon with red eyes

!URL
> a green and yellow toy with a red nose

!URL
> a red and white ball with an angry look on its face

If you use this dataset, please cite it as:


# Dataset Card for Pokémon BLIP captions

_Dataset used to train Pokémon text to image model_

BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from FastGAN-pytorch 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 drawing of a green pokemon with red eyes

!URL
> a green and yellow toy with a red nose

!URL
> a red and white ball with an angry look on its face

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-huggan/few-shot-pokemon #language-English #license-cc-by-nc-sa-4.0 #region-us 
 # Dataset Card for Pokémon BLIP captions

_Dataset used to train Pokémon text to image model_

BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from FastGAN-pytorch 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 drawing of a green pokemon with red eyes

!URL
> a green and yellow toy with a red nose

!URL
> a red and white ball with an angry look on its face

If you use this dataset, please cite it as:
passage: TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-huggan/few-shot-pokemon #language-English #license-cc-by-nc-sa-4.0 #region-us 
# Dataset Card for Pokémon BLIP captions

_Dataset used to train Pokémon text to image model_

BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from FastGAN-pytorch 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 drawing of a green pokemon with red eyes

!URL
> a green and yellow toy with a red nose

!URL
> a red and white ball with an angry look on its face

If you use this dataset, please cite it as: