image
imagewidth (px)
256
256
label
class label
2 classes
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion
0lion

AutoTrain Dataset for project: hhhh

Dataset Description

This dataset has been automatically processed by AutoTrain for project hhhh.

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": "<256x256 RGBA PIL image>",
    "target": 0
  },
  {
    "image": "<256x256 RGBA PIL image>",
    "target": 0
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['lion', 'tiger'], 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 360
valid 40
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Models trained or fine-tuned on anasalashqar/autotrain-data-hhhh