Datasetpublic

JoffreyMa/autotrain-data-histopathological_image_classification

AutoTrain Dataset for project: histopathological_image_classification Dataset Description This dataset has been automatically processed by AutoTrain for project histopathological_image_classification. 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": "<700x460 RGB PIL image>", "target": 6 }, { "image":… See the full description on the dataset page: https://huggingface.co/datasets/JoffreyMa/autotrain-data-histopathological_image_classification.

sourceHugging Faceupdated 4y agoView on Hugging Face

0likes52downloads

Dataset Card

AutoTrain Dataset for project: histopathologicalimageclassification

Dataset Description

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

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

json

[
  {
    "image": "<700x460 RGB PIL image>",
    "target": 6
  },
  {
    "image": "<700x460 RGB PIL image>",
    "target": 2
  }
]

Dataset Fields

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

json

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['1', '2', '3', '4', '5', '6', '7', '8'], 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	333
valid	89