Datasets:

AI-Lab-Makerere
/

beans

	---
	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: 18515527.0
	num_examples: 133
	- name: test
	num_bytes: 17720308.0
	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](#table-of-contents)
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Beans Homepage](https://github.com/AI-Lab-Makerere/ibean/)
	- Repository: [AI-Lab-Makerere/ibean](https://github.com/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:

	```json
	{
	"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](https://github.com/nateraw) for adding this dataset.