The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label bean_disease@12d874c142350a1ca8b3ee26b8008203f4999d21
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
example = _apply_feature_types_on_example(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2157, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
return encode_nested_example(self, example)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
example_data = self.str2int(example_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
output = [self._strval2int(value) for value in values]
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label bean_disease@12d874c142350a1ca8b3ee26b8008203f4999d21Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
bean_disease
Deep learning models for image-based bean leaf disease classification
Automated bean leaf disease classification by prototype machine learning models to classify three leaf conditions: angular leaf spot, bean rust or healthy.
All datasets are in a zip file format.
Data description
Dataset A: bean_leaf_data_a.zip generated for the custom lightweight models (Bean-CNN, Bean-CNN-LSTM) training.
The entire original set was randomly split into 70% (training) 15% (validation) 15% (testing) for this initial experiments.
| Set | Sample size |
|---|---|
| Training (Original) Training (Augmented): Increased brightness Training (Augmented): Combination Training (Augmented): Cropping Training (Augmented): Flipping Training (Augmented): Rotation |
905 2715 2715 2715 2715 2715 |
| Validation | 195 |
| Test | 195 |
Dataset B: bean_leaf_data_b.zip generated for training the pretrained (EfficientNet-B7+LSTM) models
As mentioned in the paper, we used the test set provided in the original dataset for the extended experiments.
| Set | Sample size |
|---|---|
| Training (Augmented) | 41,300 |
| Validation (Augmented) | 5,320 |
🔸NOTE
The original data is created by Makerere AI lab and available here.
⚠️ Our data is intended for research purposes only.
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