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Datasets:
galbitang
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autotrain-data-jeongmi_chair

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

AutoTrain Dataset for project: jeongmi_chair

Dataset Description

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

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": "<1000x1000 RGB PIL image>",
    "target": 4
  },
  {
    "image": "<700x700 RGB PIL image>",
    "target": 6
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['classsicantique', 'frenchprovence', 'industrial', 'koreaaisa', 'lovelyromantic', 'minimalsimple', 'modern', 'natural', 'notherneurope', 'unique', 'vintatageretro'], 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 796
valid 204