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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
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 imageskirby
: Contains Kirby images, relevant because kirby and jigglypuff look similarother
: 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:
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
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