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AutoTrain Dataset for project: model_me

Dataset Description

This dataset has been automatically processed by AutoTrain for project model_me.

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": "<600x1100 RGB PIL image>",
    "target": 7
  },
  {
    "image": "<1000x750 RGBA PIL image>",
    "target": 0
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=8, names=['3d', 'above', 'front', 'game', 'ilustration', 'inside', 'object', 'pixel art'], 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 468
valid 121
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