Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
import fiftyone as fo | |
# Downloaded the images from hugging face using git clone | |
# git clone https://huggingface.co/datasets/fcakyon/pokemon-classification | |
POKEMON_DIR = "/home/spousty/data/pokemon-classification/data" | |
# There is a subdir for test, train, valid | |
train_pokemon = fo.Dataset.from_dir( | |
dataset_dir=POKEMON_DIR + "/train", | |
progress=True, | |
dataset_type=fo.types.ImageClassificationDirectoryTree, | |
name="train_pokemon", | |
overwrite=True, | |
persistent=True | |
) | |
test_pokemon = fo.Dataset.from_dir( | |
dataset_dir=POKEMON_DIR + "/test", | |
progress=True, | |
dataset_type=fo.types.ImageClassificationDirectoryTree, | |
name="test_pokemon", | |
overwrite=True, | |
persistent=True | |
) | |
valid_pokemon = fo.Dataset.from_dir( | |
dataset_dir=POKEMON_DIR + "/valid", | |
progress=True, | |
dataset_type=fo.types.ImageClassificationDirectoryTree, | |
name="valid_pokemon", | |
overwrite=True, | |
persistent=True | |
) | |
train_pokemon.tag_samples("train") | |
test_pokemon.tag_samples("test") | |
valid_pokemon.tag_samples("valid") | |
pokemon = train_pokemon.clone(name="pokemon", persistent=True) | |
pokemon.merge_samples(test_pokemon) | |
pokemon.merge_samples(valid_pokemon) | |
pokemon.save() | |
session = fo.launch_app(pokemon) | |
session.wait() | |