Efimov6886/autotrain-test_row2-2384274652
Image Classification
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Updated
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4
Error code: UnexpectedError
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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"
}
] | a3fcc0138543ab15 | [
"image",
"target"
] | {} | null | {} | false | null |
This dataset has been automatically processed by AutoTrain for project test_row2.
The BCP-47 code for the dataset's language is unk.
A sample from this dataset looks as follows:
[
{
"image": "<316x316 RGB PIL image>",
"target": 1
},
{
"image": "<316x316 RGB PIL image>",
"target": 3
}
]
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(num_classes=5, names=['animals', 'dance', 'food', 'sport', 'tech'], id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 392 |
valid | 101 |