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--- |
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task_categories: |
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- image-classification |
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license: openrail |
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--- |
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# AutoTrain Dataset for project: doodles-30 |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project doodles-30. |
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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": "<256x256 RGB PIL image>", |
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"target": 1 |
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}, |
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{ |
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"image": "<256x256 RGB PIL image>", |
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"target": 3 |
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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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"target": "ClassLabel(names=['ant', 'bear', 'bee', 'bird', 'cat', 'dog', 'dolphin', 'elephant', 'giraffe', 'horse', 'lion', 'mosquito', 'tiger', 'whale'], 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 | 336 | |
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| valid | 84 | |