Create beans.py

beans.py

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+# coding=utf-8
+# Copyright 2021 The TensorFlow Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Beans leaf dataset with images of diseased and health leaves."""
+
+from pathlib import Path
+
+import datasets
+
+_CITATION = """\
+@ONLINE {beansdata,
+    author="Makerere AI Lab",
+    title="Bean disease dataset",
+    month="January",
+    year="2020",
+    url="https://github.com/AI-Lab-Makerere/ibean/"
+}
+"""
+
+_DESCRIPTION = """\
+Beans is a dataset of images of beans taken in the field using smartphone
+cameras. It consists of 3 classes: 2 disease classes and the healthy class.
+Diseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated
+by experts from the National Crops Resources Research Institute (NaCRRI) in
+Uganda and collected by the Makerere AI research lab.
+"""
+
+_URLS = {
+    'train': "https://storage.googleapis.com/ibeans/train.zip",
+    'validation': "https://storage.googleapis.com/ibeans/validation.zip",
+    'test': "https://storage.googleapis.com/ibeans/test.zip"
+}
+
+_NAMES = ["angular_leaf_spot", "bean_rust", "healthy"]
+
+class Beans(datasets.GeneratorBasedBuilder):
+  """Beans plant leaf images dataset."""
+
+  def _info(self):
+    return datasets.DatasetInfo(
+        description=_DESCRIPTION,
+        features=datasets.Features({
+            "file":
+                datasets.Value("string"),
+            "labels":
+                datasets.features.ClassLabel(names=sorted(tuple(_NAMES))),
+        }),
+        supervised_keys=("file", "labels"),
+        homepage="https://github.com/AI-Lab-Makerere/ibean/",
+        citation=_CITATION
+    )
+
+  def _split_generators(self, dl_manager):
+    data_files = dl_manager.download_and_extract(_URLS)
+    return [
+        datasets.SplitGenerator(
+            name=datasets.Split.TRAIN,
+            gen_kwargs={
+                "archive": data_files['train'],
+            }),
+        datasets.SplitGenerator(
+            name=datasets.Split.VALIDATION,
+            gen_kwargs={
+                "archive": data_files['validation'],
+            }),
+        datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            gen_kwargs={
+                "archive": data_files['test'],
+            }),
+    ]
+
+  def _generate_examples(self, archive):
+    labels = self.info.features['labels']
+    for i, path in enumerate(Path(archive).glob('**/*')):
+        if path.suffix == '.jpg':
+            yield i, dict(file=path.as_posix(), labels=labels.encode_example(path.parent.name.lower()))