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Datasets:
julien-c
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autotrain-data-dog-classifiers

Tasks:
Image Classification
Modalities:
Image
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autotrain-data-dog-classifiers / README.md
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metadata
task_categories:
  - image-classification

AutoTrain Dataset for project: dog-classifiers

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project dog-classifiers.

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": "<474x592 RGB PIL image>",
    "target": 1
  },
  {
    "image": "<474x296 RGB PIL image>",
    "target": 1
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=5, names=['akita inu', 'corgi', 'leonberger', 'samoyed', 'shiba inu'], 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 598
valid 150