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Datasets:
jjuarez
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autotrain-data-fine-tune

Tasks:
Image Classification
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autotrain-data-fine-tune / README.md
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metadata
task_categories:
  - image-classification

AutoTrain Dataset for project: fine-tune

Dataset Description

This dataset has been automatically processed by AutoTrain for project fine-tune.

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": "<382x256 RGB PIL image>",
    "target": 17
  },
  {
    "image": "<341x256 RGB PIL image>",
    "target": 7
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['apple', 'banana', 'cake', 'candy', 'carrot', 'cookie', 'doughnut', 'grape', 'hot dog', 'ice cream', 'juice', 'muffin', 'orange', 'pineapple', 'popcorn', 'pretzel', 'salad', 'strawberry', 'waffle', 'watermelon'], 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 5394
valid 1351