README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - en
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - image-classification
task_ids:
  - multi-class-image-classification
pretty_name: Beans
dataset_info:
  features:
    - name: image_file_path
      dtype: string
    - name: image
      dtype: image
    - name: labels
      dtype:
        class_label:
          names:
            '0': angular_leaf_spot
            '1': bean_rust
            '2': healthy
  splits:
    - name: train
      num_bytes: 143762054.662
      num_examples: 1034
    - name: validation
      num_bytes: 18515527
      num_examples: 133
    - name: test
      num_bytes: 17720308
      num_examples: 128
  download_size: 179978834
  dataset_size: 179997889.662
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Dataset Card for Beans

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: Beans Homepage
• Repository: AI-Lab-Makerere/ibean
• Paper: N/A
• Leaderboard: N/A
• Point of Contact: N/A

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_file_path': '/root/.cache/huggingface/datasets/downloads/extracted/0aaa78294d4bf5114f58547e48d91b7826649919505379a167decb629aa92b0a/train/bean_rust/bean_rust_train.109.jpg',
    'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x500 at 0x16BAA72A4A8>,
    'labels': 1
}

Data Fields

The data instances have the following fields:

• image_file_path: a string filepath to an image.
• 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:

{
  "angular_leaf_spot": 0,
  "bean_rust": 1,
  "healthy": 2,
}

Data Splits

	train	validation	test
# of examples	1034	133	128

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?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@ONLINE {beansdata,
    author="Makerere AI Lab",
    title="Bean disease dataset",
    month="January",
    year="2020",
    url="https://github.com/AI-Lab-Makerere/ibean/"
}

Contributions

Thanks to @nateraw for adding this dataset.