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--- |
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license: mit |
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task_categories: |
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- image-classification |
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- zero-shot-image-classification |
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--- |
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# Extended label set of UC Merced for Hierarchical Multi-Label Classification |
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This dataset contains an extended version of the original label set of BigEarthNet-43 for Hierarchical Multi-Label Classification. |
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## Dataset creation |
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It was created based on the CORINE Land Cover database of the year 2018 (CLC 2018), which provides detailed information about the land cover classes at multiple levels of the hierarchy |
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## Loading the Dataset |
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To load the dataset into your project, you can use the following code snippet: |
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```python |
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import pandas as pd |
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from datasets import load_dataset |
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# Load the dataset from Hugging Face |
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dataset = load_dataset( |
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"marjandl/UCM-HMLC", |
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split='train' |
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) |
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data = [line.split('\t')[1:] for line in dataset['text']] |
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df = pd.DataFrame(data) |
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# Set the first row as the header and drop it from the DataFrame |
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df.columns = df.iloc[0] |
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df = df.drop(0).reset_index(drop=True) |
