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AutoTrain Dataset for project: copcar

Dataset Description

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

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": "<246x360 RGB PIL image>",
    "target": 0
  },
  {
    "image": "<128x128 RGB PIL image>",
    "target": 1
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['VehiclesNepal1', 'police_car'], 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 992
valid 248

Citation Information

@misc {leroy_t_brenneman_2023,
    author       = { {leroy T brenneman} },
    title        = { autotrain-data-copcar (Revision ebeca60) },
    year         = 2023,
    url          = { https://huggingface.co/datasets/gatman666/autotrain-data-copcar },
    doi          = { 10.57967/hf/0243 },
    publisher    = { Hugging Face }
}
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