| --- |
| task_categories: |
| - image-classification |
|
|
| --- |
| # AutoTrain Dataset for project: swin-muppet |
|
|
| ## Dataset Description |
|
|
| This dataset has been automatically processed by AutoTrain for project swin-muppet. |
|
|
| ### Languages |
|
|
| The BCP-47 code for the dataset's language is unk. |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| A sample from this dataset looks as follows: |
|
|
| ```json |
| [ |
| { |
| "image": "<286x286 RGB PIL image>", |
| "target": 7 |
| }, |
| { |
| "image": "<169x170 RGB PIL image>", |
| "target": 13 |
| } |
| ] |
| ``` |
|
|
| ### Dataset Fields |
|
|
| The dataset has the following fields (also called "features"): |
|
|
| ```json |
| { |
| "image": "Image(decode=True, id=None)", |
| "target": "ClassLabel(num_classes=24, names=['Animal', 'Beaker', 'Bert', 'BigBird', 'Bunsen', 'Camilla', 'CookieMonster', 'Elmo', 'Ernie', 'Floyd', 'Fozzie', 'Gonzo', 'Grover', 'Kermit', 'Oscar', 'Pepe', 'Piggy', 'Rowlf', 'Scooter', 'Statler', 'SwedishChef', 'TheCount', 'Waldorf', 'Zoot'], id=None)" |
| } |
| ``` |
|
|
| ### Dataset Splits |
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| This dataset is split into a train and validation split. The split sizes are as follow: |
|
|
| | Split name | Num samples | |
| | ------------ | ------------------- | |
| | train | 599 | |
| | valid | 162 | |
|
|
