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--- |
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task_categories: |
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- image-classification |
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--- |
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# AutoTrain Dataset for project: coffee-beans |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project coffee-beans. |
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### Languages |
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The BCP-47 code for the dataset's language is unk. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"image": "<224x224 RGB PIL image>", |
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"feat_width": 224, |
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"feat_height": 224, |
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"target": 1, |
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"feat_xmin": 22, |
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"feat_ymin": 61, |
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"feat_xmax": 140, |
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"feat_ymax": 160 |
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}, |
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{ |
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"image": "<224x224 RGB PIL image>", |
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"feat_width": 224, |
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"feat_height": 224, |
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"target": 1, |
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"feat_xmin": 34, |
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"feat_ymin": 13, |
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"feat_xmax": 205, |
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"feat_ymax": 164 |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"image": "Image(decode=True, id=None)", |
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"feat_width": "Value(dtype='int64', id=None)", |
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"feat_height": "Value(dtype='int64', id=None)", |
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"target": "ClassLabel(names=['defect', 'good'], id=None)", |
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"feat_xmin": "Value(dtype='int64', id=None)", |
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"feat_ymin": "Value(dtype='int64', id=None)", |
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"feat_xmax": "Value(dtype='int64', id=None)", |
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"feat_ymax": "Value(dtype='int64', id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 3348 | |
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| valid | 1237 | |
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