Moved BeeDataset from home NAS (raspbee.de) to github lfs

docs/catalog/bee_dataset.md

@@ -3,10 +3,10 @@
     <meta itemprop="name" content="TensorFlow Datasets" />
   </div>
   <meta itemprop="name" content="bee_dataset" />
-  <meta itemprop="description" content="This dataset contains images and a set of labels that expose certain&#10;characterisitics of that images, such as *varroa-mite* infections, bees carrying&#10;*pollen-packets* or bee that are *cooling the hive* by flappingn their wings.&#10;Additionally, this dataset contains images of *wasps* to be able to distinguish&#10;bees and wasps.&#10;&#10;The images of the bees are taken from above and rotated. The bee is vertical and&#10;either its head or the trunk is on top. All images were taken with a green&#10;background and the distance to the bees was always the same, thus all bees have&#10;the same size.&#10;&#10;Each image can have multiple labels assigned to it. E.g. a bee can be cooling&#10;the hive and have a varrio-mite infection at the same time.&#10;&#10;This dataset is designed as mutli-label dataset, where each label, e.g.&#10;*varroa_output*, contains 1 if the characterisitic was present in the image and&#10;a 0 if it wasn&#x27;t. All images are provided by 300 pixel height and 150 pixel&#10;witdh. As default the dataset provides the images as 150x75 (h,w) pixel. You can&#10;select 300 pixel height by loading the datset with the name&#10;&quot;bee_dataset/bee_dataset_300&quot; and with 200 pixel height by&#10;&quot;bee_dataset/bee_dataset_200&quot;.&#10;&#10;License: GNU GENERAL PUBLIC LICENSE&#10;&#10;Author: Fabian Hickert &lt;Fabian.Hickert@raspbee.de&gt;&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;bee_dataset&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10;  print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;&lt;img src=&quot;https://storage.googleapis.com/tfds-data/visualization/fig/bee_dataset-bee_dataset_300-1.0.0.png&quot; alt=&quot;Visualization&quot; width=&quot;500px&quot;&gt;&#10;&#10;" />
+  <meta itemprop="description" content="This dataset contains images and a set of labels that expose certain&#10;characterisitics of that images, such as *varroa-mite* infections, bees carrying&#10;*pollen-packets* or bee that are *cooling the hive* by flappingn their wings.&#10;Additionally, this dataset contains images of *wasps* to be able to distinguish&#10;bees and wasps.&#10;&#10;The images of the bees are taken from above and rotated. The bee is vertical and&#10;either its head or the trunk is on top. All images were taken with a green&#10;background and the distance to the bees was always the same, thus all bees have&#10;the same size.&#10;&#10;Each image can have multiple labels assigned to it. E.g. a bee can be cooling&#10;the hive and have a varrio-mite infection at the same time.&#10;&#10;This dataset is designed as mutli-label dataset, where each label, e.g.&#10;*varroa_output*, contains 1 if the characterisitic was present in the image and&#10;a 0 if it wasn&#x27;t. All images are provided by 300 pixel height and 150 pixel&#10;witdh. As default the dataset provides the images as 150x75 (h,w) pixel. You can&#10;select 300 pixel height by loading the datset with the name&#10;&quot;bee_dataset/bee_dataset_300&quot; and with 200 pixel height by&#10;&quot;bee_dataset/bee_dataset_200&quot;.&#10;&#10;License: GNU GENERAL PUBLIC LICENSE&#10;&#10;Author: Fabian Hickert &lt;Fabian.Hickert@posteo.de&gt;&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;bee_dataset&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10;  print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;&lt;img src=&quot;https://storage.googleapis.com/tfds-data/visualization/fig/bee_dataset-bee_dataset_300-1.0.0.png&quot; alt=&quot;Visualization&quot; width=&quot;500px&quot;&gt;&#10;&#10;" />
   <meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/bee_dataset" />
-  <meta itemprop="sameAs" content="https://raspbee.de" />
-  <meta itemprop="citation" content="@misc{BeeAlarmed - A camera based bee-hive monitoring,&#10;  title =   &quot;Dataset for a camera based bee-hive monitoring&quot;,&#10;  url={https://github.com/BeeAlarmed}, journal={BeeAlarmed},&#10;  author =  &quot;Fabian Hickert&quot;,&#10;  year   =  &quot;2021&quot;,&#10;  NOTE   = &quot;\url{https://raspbee.de/} and \url{https://github.com/BeeAlarmed/BeeAlarmed}&quot;&#10;}" />
+  <meta itemprop="sameAs" content="https://github.com/BeeAlarmed/BeeDataset" />
+  <meta itemprop="citation" content="@misc{BeeAlarmed - A camera based bee-hive monitoring,&#10;  title =   &quot;Dataset for a camera based bee-hive monitoring&quot;,&#10;  url={https://github.com/BeeAlarmed}, journal={BeeAlarmed},&#10;  author =  &quot;Fabian Hickert&quot;,&#10;  year   =  &quot;2021&quot;,&#10;  NOTE   = &quot;\url{https://github.com/BeeAlarmed/BeeDataset}&quot;&#10;}" />
 </div>
 
 # `bee_dataset`
@@ -38,9 +38,9 @@ select 300 pixel height by loading the datset with the name
 
 License: GNU GENERAL PUBLIC LICENSE
 
-Author: Fabian Hickert <Fabian.Hickert@raspbee.de>
+Author: Fabian Hickert <Fabian.Hickert@posteo.de>
 
-*   **Homepage**: [https://raspbee.de](https://raspbee.de)
+*   **Homepage**: [https://github.com/BeeAlarmed/BeeDataset](https://github.com/BeeAlarmed/BeeDataset)
 
 *   **Source code**:
     [`tfds.datasets.bee_dataset.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/bee_dataset/bee_dataset_dataset_builder.py)
@@ -73,7 +73,7 @@ Split     | Examples
   url={https://github.com/BeeAlarmed}, journal={BeeAlarmed},
   author =  "Fabian Hickert",
   year   =  "2021",
-  NOTE   = "\url{https://raspbee.de/} and \url{https://github.com/BeeAlarmed/BeeAlarmed}"
+  NOTE   = "\url{https://github.com/BeeAlarmed/BeeDataset}"
 }
 ```
 
@@ -301,4 +301,4 @@ dataButton.addEventListener('click', async () => {
 
 {% endframebox %}
 
-<!-- mdformat on -->
+<!-- mdformat on -->

tensorflow_datasets/datasets/bee_dataset/CITATIONS.bib

@@ -3,5 +3,5 @@ @misc{BeeAlarmed
   url={https://github.com/BeeAlarmed}, journal={BeeAlarmed},
   author =  "Fabian Hickert",
   year   =  "2021",
-  NOTE   = "\url{https://raspbee.de/} and \url{https://github.com/BeeAlarmed/BeeAlarmed}"
-}
+  NOTE   = "\url{https://github.com/BeeAlarmed/BeeDataset} and \url{https://github.com/BeeAlarmed/BeeAlarmed}"
+}

tensorflow_datasets/datasets/bee_dataset/README.md

@@ -22,4 +22,4 @@ select 300 pixel height by loading the datset with the name
 
 License: GNU GENERAL PUBLIC LICENSE
 
-Author: Fabian Hickert <Fabian.Hickert@raspbee.de>
+Author: Fabian Hickert <Fabian.Hickert@posteo.de>

tensorflow_datasets/datasets/bee_dataset/bee_dataset_dataset_builder.py

@@ -43,7 +43,7 @@ class Builder(tfds.core.GeneratorBasedBuilder):
 
   VERSION = tfds.core.Version('1.0.0')
 
-  URL = 'https://raspbee.de/BeeDataset_20201121.zip'
+  URL = 'https://github.com/BeeAlarmed/BeeDataset/raw/refs/heads/main/BeeDataset_20201121.zip'
 
   BEE_CFG_300 = BeeDatasetConfig(
       name='bee_dataset_300',
@@ -63,7 +63,7 @@ class Builder(tfds.core.GeneratorBasedBuilder):
 
   BEE_CFG_150 = BeeDatasetConfig(
       name='bee_dataset_150',
-      description='BeeDataset images with 200 pixel height and 100 pixel width',
+      description='BeeDataset images with 150 pixel height and 75 pixel width',
       version='1.0.0',
       image_height=150,
       image_width=75,
@@ -79,8 +79,8 @@ def _info(self) -> tfds.core.DatasetInfo:
         self.builder_config.depth,
     )
     features = tfds.features.FeaturesDict({
-        'input': tfds.features.Image(shape=t_shape),
-        'output': {
+        'image': tfds.features.Image(shape=t_shape),
+        'label': {
             'varroa_output': np.float64,
             'pollen_output': np.float64,
             'wasps_output': np.float64,
@@ -90,8 +90,8 @@ def _info(self) -> tfds.core.DatasetInfo:
 
     return self.dataset_info_from_configs(
         features=features,
-        supervised_keys=('input', 'output'),
-        homepage='https://raspbee.de',
+        supervised_keys=('image', 'label'),
+        homepage='https://github.com/BeeAlarmed/BeeDataset',
     )
 
   def _split_generators(self, dl_manager):
@@ -116,8 +116,8 @@ def _generate_examples(self, path):
       img = path / f'images_{self.builder_config.height}' / name
 
       yield name + str(self.builder_config.height), {
-          'input': img,
-          'output': {
+          'image': img,
+          'label': {
               'varroa_output': labels[0],
               'pollen_output': labels[1],
               'wasps_output': labels[2],

tensorflow_datasets/datasets/bee_dataset/checksums.tsv

@@ -1 +1 @@
-https://raspbee.de/BeeDataset_20201121.zip	201735620	f219c7dc5d81712fb6f3423e2f5468e648260f2032720d87ebf14f218b5e3e43	BeeDataset_20201121.zip
+https://github.com/BeeAlarmed/BeeDataset/raw/refs/heads/main/BeeDataset_20201121.zip	201735620	f219c7dc5d81712fb6f3423e2f5468e648260f2032720d87ebf14f218b5e3e43	BeeDataset_20201121.zip

tensorflow_datasets/image_classification/bee_dataset/bee_dataset.py

@@ -14,12 +14,7 @@
 # limitations under the License.
 
 """Dataset definition for bee_dataset.
-
-DEPRECATED!
-If you want to use the BeeDataset dataset builder class, use:
-tfds.builder_cls('bee_dataset')
 """
 
-from tensorflow_datasets.core import lazy_builder_import
-
-BeeDataset = lazy_builder_import.LazyBuilderImport('bee_dataset')
+import tensorflow_datasets as tfds
+BeeDataset = tfds.builder_cls('bee_dataset')