--- task_categories: - image-classification tags: - roboflow - roboflow2huggingface - Gaming ---
fcakyon/pokemon-classification
### Dataset Labels ``` ['test', 'train', 'valid', 'valid-mini'] ``` ### Number of Images ```json {'train': 4869, 'test': 732, 'valid': 1390} ``` ### How to Use - Install [datasets](https://pypi.org/project/datasets/): ```bash pip install datasets ``` - Load the dataset: ```python 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](https://universe.roboflow.com/robert-demo-qvail/pokedex/dataset/14?ref=roboflow2huggingface) ### 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.