metadata

task_categories:
  - image-classification

AutoTrain Dataset for project: image-classification-test-18

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project image-classification-test-18.

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": "<224x224 RGB PIL image>",
    "target": 2
  },
  {
    "image": "<224x224 RGB PIL image>",
    "target": 2
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=3, names=['ADONIS', 'AFRICAN GIANT SWALLOWTAIL', 'AMERICAN SNOOT'], 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	269
valid	69