Norod78/swin-muppet-faces
Image Classification
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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/18851312193634-config-parquet-and-info-Norod78-MuppetFaces-6387d7d1/Norod78___muppet_faces/default/0.0.0/c680d3168b82af06fb55adc58c07ac8dd4676473.incomplete'
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 88cedd5caa87f657 | [
"image",
"target"
] | {} | null | {} | false | null |
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:
[
{
"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"):
{
"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 |
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Models trained or fine-tuned on Norod78/MuppetFaces