4lender/setcsset
Dataset for project: csgo-weapon-classification Dataset Description This dataset has for project csgo-weapon-classification was collected with the help of a bulk google image downloader. 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": "<1768x718 RGB PIL image>", "target": 0 }, { "image": "<716x375… See the full description on the dataset page: https://huggingface.co/datasets/4lender/setcsset.
Dataset for project: csgo-weapon-classification
Dataset Description
This dataset has for project csgo-weapon-classification was collected with the help of a bulk google image downloader.
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": "<1768x718 RGB PIL image>",
"target": 0
},
{
"image": "<716x375 RGBA PIL image>",
"target": 0
}
]Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['AK-47', 'AWP', 'Famas', 'Galil-AR', 'Glock', 'M4A1', 'M4A4', 'P-90', 'SG-553', 'UMP', 'USP'], id=None)"
}Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow: