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---
task_categories:
- image-classification
license: apache-2.0
tags:
- flowers
pretty_name: Autotrained Flowers
---
# AutoTrain Dataset for project: image-classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project image-classification.
### 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": "<500x333 RGB PIL image>",
"target": 0
},
{
"image": "<320x240 RGB PIL image>",
"target": 4
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(num_classes=5, names=['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips'], 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 | 160 |
| valid | 40 | |