Datasets:
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README.md
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pretty_name: ' Jigglypuff detection data'
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size_categories:
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- 10K<n<100K
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pretty_name: ' Jigglypuff detection data'
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size_categories:
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- 10K<n<100K
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---
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# Jigglypuff Detection Dataset
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This dataset is designed for training machine learning models to detect and distinguish Jigglypuff (a Pokemon) from Kirby and other similar characters.
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I mainly use this with my [Pummeluff-Detektor](https://github.com/PlexSheep/pummeluff_detektor)
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## Dataset Summary
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The dataset contains approximately 5.5GB of images across three categories:
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- Jigglypuff (Pokemon character)
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- Kirby (Nintendo character)
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- Other (Various other characters and images)
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This dataset was specifically curated to solve the age-old problem of distinguishing between these two famously similar pink characters, along with detecting potential imposters.
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## Supported Tasks
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- Image Classification
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- Character Recognition
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- Pink Blob Detection
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## Dataset Structure
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```
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dataset/
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βββ jigglypuff/ (~730MB)
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βββ kirby/ (~4MB)
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βββ other/ (~4.8GB)
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βββ other/
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βββ other2/
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```
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### Data Fields
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The dataset is organized in a directory structure where each subdirectory represents a class label:
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- `jigglypuff`: Contains Jigglypuff images
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- `kirby`: Contains Kirby images, relevant because kirby and jigglypuff look similar
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- `other`: Contains images of other characters and objects for negative examples
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### Data Splits
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This is a raw image dataset without predefined splits. Users should implement their own train/test splits.
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## Dataset Creation
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### Source Data
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Images were collected from two primary sources:
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- [CS63 Pokemon Dataset](https://www.kaggle.com/datasets/alinapalacios/cs63-pokemon-dataset)
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- [Nintendo Kirby Dataset](https://www.kaggle.com/datasets/turbihao/nintendo-kirby-dataset)
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As of writing this, no additional images were added.
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### Annotations
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The dataset uses directory names as implicit labels. No additional annotation files are provided.
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## Considerations for Using the Dataset
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### Social Impact of Dataset
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This dataset was created for educational and entertainment purposes. It demonstrates practical machine learning concepts through a fun and accessible example.
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### Discussion of Biases
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The dataset may contain biases in terms of:
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- Art styles (anime/game artwork vs. fan art)
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- Image quality variations
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- Pose distributions
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- Background variations
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- Only images of Pokemon or Kirby, no unrelated images
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### Other Known Limitations
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- Limited to specific art styles
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- May not generalize well to real-world pink objects
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- Focused on frontal/profile views
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## Additional Information
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### Dataset Curators
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Dataset curated by @plexsheep
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### Contributions
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Feel free to open a discussion on the dataset repository page if you have:
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- Suggestions for additional images
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- Quality improvements
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- Documentation updates
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- Use case examples
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