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