datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pokemon-classification
Dataset Labels
['Porygon', 'Goldeen', 'Hitmonlee', 'Hitmonchan', 'Gloom', 'Aerodactyl', 'Mankey', 'Seadra', 'Gengar', 'Venonat', 'Articuno', 'Seaking', 'Dugtrio', 'Machop', 'Jynx', 'Oddish', 'Dodrio', 'Dragonair', 'Weedle', 'Golduck', 'Flareon', 'Krabby', 'Parasect', 'Ninetales', 'Nidoqueen', 'Kabutops', 'Drowzee', 'Caterpie', 'Jigglypuff', 'Machamp', 'Clefairy', 'Kangaskhan', 'Dragonite', 'Weepinbell', 'Fearow', 'Bellsprout', 'Grimer', 'Nidorina', 'Staryu', 'Horsea'… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pokemon-classification.PokemonDataset
Dataset Card for Pokemon Gen 1
Dataset Structure
Data Instances: A typical data instance consists of a textual prompt and a corresponding image path.
Data Fields:
prompt: A string containing the textual description or cue associated with the image.
image_file: The path to the image file related to the prompt.
Data Splits: The dataset is not explicitly split. All instances are part of a single batch. Users can create training, validation, and test splits as needed.… See the full description on the dataset page: https://huggingface.co/datasets/Empolyon2/PokemonDataset.pokemon-classification
Dataset Labels
['Golbat', 'Machoke', 'Omastar', 'Diglett', 'Lapras', 'Kabuto', 'Persian', 'Weepinbell', 'Golem', 'Dodrio', 'Raichu', 'Zapdos', 'Raticate', 'Magnemite', 'Ivysaur', 'Growlithe', 'Tangela', 'Drowzee', 'Rapidash', 'Venonat', 'Pidgeot', 'Nidorino', 'Porygon', 'Lickitung', 'Rattata', 'Machop', 'Charmeleon', 'Slowbro', 'Parasect', 'Eevee', 'Starmie', 'Staryu', 'Psyduck', 'Dragonair', 'Magikarp', 'Vileplume', 'Marowak', 'Pidgeotto', 'Shellder', 'Mewtwo', 'Farfetchd'… See the full description on the dataset page: https://huggingface.co/datasets/fcakyon/pokemon-classification.pokemon_card_image_for_authenticity_classification
Pokemon Card Image for Authenticity Classification
This dataset contains front/back images of Pokemon cards for authenticity experiments.
Dataset structure
Images/: all image files (.jpeg)
Images/metadata.jsonl: metadata used by Hugging Face imagefolder
labels.csv: flat label file with the same rows as metadata
Columns
image: image object loaded from file
id: image filename (unique id)
side: card side (0 = front, 1 = back)
labels: authenticity label (1 =… See the full description on the dataset page: https://huggingface.co/datasets/stevelohwc/pokemon_card_image_for_authenticity_classification.pokemon-classification-gen1-9
Dataset Card for Pokemon Classification Gen 1 - 9
This dataset is designed for classifying Pokémon based on their images. All images are 256px x 256px and have metadata detailing each Pokémon's generation, types, and key statistics such as HP, Attack, Defense, Special Attack, Special Defense, and Speed. Additionally, the dataset features labeled images of shiny versions of Pokémon, providing a comprehensive resource for image-based classification tasks.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/JJMack/pokemon-classification-gen1-9.PokeFA-pokemon-fanart-captioned
PokeFA — Pokémon fan-art metadata with relevance/aesthetic scores and hybrid captions
PokeFA is a large-scale Pokémon fan-art dataset released as metadata + URLs only (no image bytes).~30,000 candidate images are collected across 1,025 Pokémon using a popularity-banded budget with following curation pipeline:
NSFW filtering → OCR localization & inpainting → resizing → relevance & aesthetic scoring (GPT-5-mini vision) → near-duplicate removal → quality filtering to the top ~16… See the full description on the dataset page: https://huggingface.co/datasets/Kev0208/PokeFA-pokemon-fanart-captioned.pokemon-classification-gen1-9
Dataset Card for Pokemon Classification Gen 1 - 9
This dataset is designed for classifying Pokémon based on their images. All images are 256px x 256px and have metadata detailing each Pokémon's generation, types, and key statistics such as HP, Attack, Defense, Special Attack, Special Defense, and Speed. Additionally, the dataset features labeled images of shiny versions of Pokémon, providing a comprehensive resource for image-based classification tasks.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/cnxiaomai/pokemon-classification-gen1-9.