task_categories:image-classification doi:10.57967/hf/0243 region:us
---
task_categories:
- image-classification

---
# 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:

```json
[
  {
    "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"):

```json
{
  "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 }
}
```
