image
imagewidth (px)
28
28
label
class label
2 classes
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green
0green

AutoTrain Dataset for project: square-count-classifier

Dataset Description

This dataset has been automatically processed by AutoTrain for project square-count-classifier.

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": "<28x28 L PIL image>",
    "target": 0
  },
  {
    "image": "<28x28 L PIL image>",
    "target": 0
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['green', 'red'], 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 394
valid 40
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