Datasets:
Tasks:
Image Classification
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K - 10K
License:
Commit
·
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Parent(s):
Duplicate from AI-Lab-Makerere/beans
Browse filesCo-authored-by: Parquet-converter (BOT) <parquet-converter@users.noreply.huggingface.co>
- .gitattributes +27 -0
- README.md +211 -0
- data/test-00000-of-00001.parquet +3 -0
- data/test.zip +3 -0
- data/train-00000-of-00001.parquet +3 -0
- data/train.zip +3 -0
- data/validation-00000-of-00001.parquet +3 -0
- data/validation.zip +3 -0
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README.md
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| 1 |
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---
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| 2 |
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annotations_creators:
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- expert-generated
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language_creators:
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- expert-generated
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language:
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- en
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| 8 |
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license:
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- mit
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multilinguality:
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- monolingual
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- image-classification
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| 18 |
+
task_ids:
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- multi-class-image-classification
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| 20 |
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pretty_name: Beans
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| 21 |
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dataset_info:
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+
features:
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| 23 |
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- name: image_file_path
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| 24 |
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dtype: string
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- name: image
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dtype: image
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| 27 |
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- name: labels
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| 28 |
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dtype:
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class_label:
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names:
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| 31 |
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'0': angular_leaf_spot
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| 32 |
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'1': bean_rust
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| 33 |
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'2': healthy
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| 34 |
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splits:
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- name: train
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| 36 |
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num_bytes: 143762054.662
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| 37 |
+
num_examples: 1034
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| 38 |
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- name: validation
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| 39 |
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num_bytes: 18515527.0
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| 40 |
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num_examples: 133
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| 41 |
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- name: test
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| 42 |
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num_bytes: 17720308.0
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| 43 |
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num_examples: 128
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| 44 |
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download_size: 179978834
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| 45 |
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dataset_size: 179997889.662
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| 46 |
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configs:
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- config_name: default
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| 48 |
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data_files:
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- split: train
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path: data/train-*
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| 51 |
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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| 55 |
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---
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| 56 |
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| 57 |
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# Dataset Card for Beans
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| 58 |
+
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| 59 |
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## Table of Contents
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| 60 |
+
- [Table of Contents](#table-of-contents)
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| 61 |
+
- [Dataset Description](#dataset-description)
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| 62 |
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- [Dataset Summary](#dataset-summary)
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| 63 |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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| 64 |
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- [Languages](#languages)
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| 65 |
+
- [Dataset Structure](#dataset-structure)
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| 66 |
+
- [Data Instances](#data-instances)
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| 67 |
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- [Data Fields](#data-fields)
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| 68 |
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- [Data Splits](#data-splits)
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| 69 |
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- [Dataset Creation](#dataset-creation)
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| 70 |
+
- [Curation Rationale](#curation-rationale)
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| 71 |
+
- [Source Data](#source-data)
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| 72 |
+
- [Annotations](#annotations)
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| 73 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
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| 74 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
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| 75 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
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| 76 |
+
- [Discussion of Biases](#discussion-of-biases)
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| 77 |
+
- [Other Known Limitations](#other-known-limitations)
|
| 78 |
+
- [Additional Information](#additional-information)
|
| 79 |
+
- [Dataset Curators](#dataset-curators)
|
| 80 |
+
- [Licensing Information](#licensing-information)
|
| 81 |
+
- [Citation Information](#citation-information)
|
| 82 |
+
- [Contributions](#contributions)
|
| 83 |
+
|
| 84 |
+
## Dataset Description
|
| 85 |
+
|
| 86 |
+
- **Homepage:** [Beans Homepage](https://github.com/AI-Lab-Makerere/ibean/)
|
| 87 |
+
- **Repository:** [AI-Lab-Makerere/ibean](https://github.com/AI-Lab-Makerere/ibean/)
|
| 88 |
+
- **Paper:** N/A
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| 89 |
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- **Leaderboard:** N/A
|
| 90 |
+
- **Point of Contact:** N/A
|
| 91 |
+
|
| 92 |
+
### Dataset Summary
|
| 93 |
+
|
| 94 |
+
Beans leaf dataset with images of diseased and health leaves.
|
| 95 |
+
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| 96 |
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### Supported Tasks and Leaderboards
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| 97 |
+
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| 98 |
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- `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.
|
| 99 |
+
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| 100 |
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### Languages
|
| 101 |
+
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| 102 |
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English
|
| 103 |
+
|
| 104 |
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## Dataset Structure
|
| 105 |
+
|
| 106 |
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### Data Instances
|
| 107 |
+
|
| 108 |
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A sample from the training set is provided below:
|
| 109 |
+
|
| 110 |
+
```
|
| 111 |
+
{
|
| 112 |
+
'image_file_path': '/root/.cache/huggingface/datasets/downloads/extracted/0aaa78294d4bf5114f58547e48d91b7826649919505379a167decb629aa92b0a/train/bean_rust/bean_rust_train.109.jpg',
|
| 113 |
+
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x500 at 0x16BAA72A4A8>,
|
| 114 |
+
'labels': 1
|
| 115 |
+
}
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| 116 |
+
```
|
| 117 |
+
|
| 118 |
+
### Data Fields
|
| 119 |
+
|
| 120 |
+
The data instances have the following fields:
|
| 121 |
+
|
| 122 |
+
- `image_file_path`: a `string` filepath to an image.
|
| 123 |
+
- `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]`.
|
| 124 |
+
- `labels`: an `int` classification label.
|
| 125 |
+
|
| 126 |
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Class Label Mappings:
|
| 127 |
+
|
| 128 |
+
```json
|
| 129 |
+
{
|
| 130 |
+
"angular_leaf_spot": 0,
|
| 131 |
+
"bean_rust": 1,
|
| 132 |
+
"healthy": 2,
|
| 133 |
+
}
|
| 134 |
+
```
|
| 135 |
+
|
| 136 |
+
### Data Splits
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
| |train|validation|test|
|
| 140 |
+
|-------------|----:|---------:|---:|
|
| 141 |
+
|# of examples|1034 |133 |128 |
|
| 142 |
+
|
| 143 |
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## Dataset Creation
|
| 144 |
+
|
| 145 |
+
### Curation Rationale
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
### Source Data
|
| 150 |
+
|
| 151 |
+
#### Initial Data Collection and Normalization
|
| 152 |
+
|
| 153 |
+
[More Information Needed]
|
| 154 |
+
|
| 155 |
+
#### Who are the source language producers?
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Annotations
|
| 160 |
+
|
| 161 |
+
#### Annotation process
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Who are the annotators?
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
### Personal and Sensitive Information
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Considerations for Using the Data
|
| 174 |
+
|
| 175 |
+
### Social Impact of Dataset
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
### Discussion of Biases
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
### Other Known Limitations
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Additional Information
|
| 188 |
+
|
| 189 |
+
### Dataset Curators
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
### Licensing Information
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
### Citation Information
|
| 198 |
+
|
| 199 |
+
```
|
| 200 |
+
@ONLINE {beansdata,
|
| 201 |
+
author="Makerere AI Lab",
|
| 202 |
+
title="Bean disease dataset",
|
| 203 |
+
month="January",
|
| 204 |
+
year="2020",
|
| 205 |
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url="https://github.com/AI-Lab-Makerere/ibean/"
|
| 206 |
+
}
|
| 207 |
+
```
|
| 208 |
+
|
| 209 |
+
### Contributions
|
| 210 |
+
|
| 211 |
+
Thanks to [@nateraw](https://github.com/nateraw) for adding this dataset.
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data/test-00000-of-00001.parquet
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data/validation-00000-of-00001.parquet
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data/validation.zip
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