README.md

metadata

task_categories:
  - image-classification
tags:
  - roboflow
  - roboflow2huggingface
  - Gaming

Dataset Labels

['test', 'train', 'valid', 'valid-mini']

Number of Images

{'train': 4869, 'test': 732, 'valid': 1390}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("fcakyon/pokemon-classification", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/robert-demo-qvail/pokedex/dataset/14

Citation

@misc{ pokedex_dataset,
    title = { Pokedex Dataset },
    type = { Open Source Dataset },
    author = { Lance Zhang },
    howpublished = { \\url{ https://universe.roboflow.com/robert-demo-qvail/pokedex } },
    url = { https://universe.roboflow.com/robert-demo-qvail/pokedex },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-01-14 },
}

License

Public Domain

Dataset Summary

This dataset was exported via roboflow.com on December 20, 2022 at 5:34 PM GMT

Roboflow is an end-to-end computer vision platform that helps you

• collaborate with your team on computer vision projects
• collect & organize images
• understand unstructured image data
• annotate, and create datasets
• export, train, and deploy computer vision models
• use active learning to improve your dataset over time

It includes 6991 images. Pokemon are annotated in folder format.

The following pre-processing was applied to each image:

• Auto-orientation of pixel data (with EXIF-orientation stripping)
• Resize to 224x224 (Fit (black edges))

No image augmentation techniques were applied.