Fruits-30 / fruits30.py
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import os
import datasets
from datasets.tasks import ImageClassification
from .classes import FRUITS30_CLASSES
class fruits30(datasets.GeneratorBasedBuilder):
def _info(self):
assert len(FRUITS30_CLASSES) == 30
return datasets.DatasetInfo(
description = " The fruits-30 is a image dataset for fruit image classification task." +
" It contains high-quality images of 30 types of fruit with annotation using segmentation.",
features = datasets.Features(
{
"image": datasets.Image(),
"label": datasets.ClassLabel(names = list(FRUITS30_CLASSES.values())),
}
),
homepage = "https://github.com/VinayHajare/Fruit-Image-Dataset",
task_templates = [ImageClassification(image_column = "image", label_column = "label")],
)
def _generate_examples(self, archives, split):
"""Yields examples."""
idx = 0
for archive in archives:
for path, file in archive:
if path.endswith(".JPG"):
# image filepath format: <IMAGE_FILENAME>_<SYNSET_ID>.JPEG
root, _ = os.path.splitext(path)
_, synset_id = os.path.basename(root).rsplit("_", 1)
label = FRUITS30_CLASSES[synset_id]
ex = {"image": {"path": path, "bytes": file.read()}, "label": label}
yield idx, ex
idx += 1