Datasets:
Tasks:
Image Classification
Modalities:
Image
File size: 970 Bytes
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---
task_categories:
- image-classification
---
# 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:
```json
[
{
"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"):
```json
{
"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:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 355 |
| valid | 90 |
|