|
--- |
|
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 |
|
|
|
This dataset is split into a train and validation split. The split sizes are as follow: |
|
|
|
| Split name | Num samples | |
|
| ------------ | ------------------- | |
|
| train | 599 | |
|
| valid | 162 | |
|
|
