kripsjaviya/autotrain-data-ssip2
AutoTrain Dataset for project: ssip2 Dataset Description This dataset has been automatically processed by AutoTrain for project ssip2. 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": "<512x384 RGB PIL image>", "target": 3 }, { "image": "<512x384 RGB PIL image>", "target": 1 } ]… See the full description on the dataset page: https://huggingface.co/datasets/kripsjaviya/autotrain-data-ssip2.
AutoTrain Dataset for project: ssip2
Dataset Description
This dataset has been automatically processed by AutoTrain for project ssip2.
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": "<512x384 RGB PIL image>",
"target": 3
},
{
"image": "<512x384 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=['cardboard', 'glass', 'metal', 'paper', 'plastic', 'trash'], id=None)"
}Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
