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