nateraw/vit-base-beans
Image Classification
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Updated
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6.86k
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Beans leaf dataset with images of diseased and health leaves.
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.English
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
}
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,
}
train | validation | test | |
---|---|---|---|
# of examples | 1034 | 133 | 128 |
[More Information Needed]
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@ONLINE {beansdata,
author="Makerere AI Lab",
title="Bean disease dataset",
month="January",
year="2020",
url="https://github.com/AI-Lab-Makerere/ibean/"
}
Thanks to @nateraw for adding this dataset.