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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