poolrf2001/FaceMask

Dataset Card for Beans

Dataset Summary

Beans leaf dataset with images of diseased and health leaves.

Supported Tasks and Leaderboards

• image-classification: Based on a leaf image, the goal of this task is to predict the disease type (Angular Leaf Spot and Bean Rust), if any.

Languages

English

Dataset Structure

Data Instances

A sample from the training set is provided below:

{
    'image': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=128x128 at 0x16BAA72A4A8>,
    'labels': 1
}

Data Fields

The data instances have the following fields:

• image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
• labels: an int classification label.

Class Label Mappings:

{
  "mask_weared_incorrect": 0,
  "with_mask": 1,
  "without_mask": 2,
}

Data Splits

	train	validation	test
# of examples	1500	180	180

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

[More Information Needed]

Citation Information

@ONLINE {beansdata,
    author="Pool",
    title="FaceMask dataset",
    month="January",
    year="2023",
    url="https://github.com/poolrf2001/maskFace"
}

Contributions