Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
Indonesian
Size Categories:
n<1K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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Error code: UnexpectedError
Need help to make the dataset viewer work? Open a discussion for direct support.
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End of preview.
Dataset Card for Beans
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: astringfilepath to an image.image: APIL.Image.Imageobject 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 overdataset["image"][0].labels: anintclassification 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
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Licensing Information
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Citation Information
Contributions
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