README.md

metadata

license: mit
annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
source_datasets:
  - original
task_categories:
  - image-classification
task_ids:
  - multi-class-image-classification
language:
  - id
pretty_name: Cofee Beans Grading
size_categories:
  - n<1K
dataset_info:
  features:
    - name: image_file_path
      dtype: string
    - name: image
      dtype: image
    - name: labels
      dtype:
        class_label:
          names:
            '0': 3
            '1': 0
            '2': 1
            '3': 2
  splits:
    - name: train
      num_bytes: 202.173.747
      num_examples: 200
    - name: validation
      num_bytes: 57.633.053
      num_examples: 400
    - name: test
      num_bytes: 28.985.470
      num_examples: 1400
  download_size: 288792270
  dataset_size: 2000

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:
• Repository:
• Paper: N/A
• Leaderboard: N/A
• Point of Contact: N/A

Dataset Summary

Coffee Beans Grading

Supported Tasks and Leaderboards

• image-classification: Based on a coffee bean grading, the goal of this task is to grade single beans for clusterization.

Languages

Indonesia

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:

{
  "1": 0,
  "2": 1,
  "3": 2,
}

Data Splits

	train	validation	test
# of examples	1400	400	200

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

Contributions