Mobiusi

Bean Leaf Detection Dataset

#target detection #image classification #crop monitoring #pest and disease detection #precision agriculture
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-13

AI Analysis & Value Prop

The current agricultural sector faces the challenge of crop pest and disease detection. Due to the lack of efficient and accurate detection technologies, crops suffer severe losses. Existing solutions often rely on manual detection, which is not only inefficient but also prone to errors. The Bean Leaf Detection Dataset aims to provide high-quality annotated image data to help researchers and developers develop more precise computer vision algorithms to automatically identify and detect pests and diseases on bean leaves. The data is collected by professionals in various field environments, using high-resolution cameras to ensure that image details are clearly distinguishable. Multiple rounds of annotation and consistency checks are implemented during data processing to ensure the accuracy and consistency of annotations. The data is stored in JPEG format, organized such that each image file corresponds to an annotation file, facilitating subsequent applications.

Dataset Insights

Sample Examples

a35653c9**.jpg|4640*6960|6.43 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
leaf_typestringIdentifies the type of bean leaf, such as soybean leaf or mung bean leaf.
disease_presencebooleanIndicates whether there are any diseases or pests present on the leaf.
disease_typestringIdentifies the specific type of disease present on the leaf, such as powdery mildew or rust.
damage_severitystringEvaluates the severity of the damage on the leaf, such as mild, moderate, or severe.
color_variationstringDetects color changes on the leaf, such as yellowing or browning.
leaf_sizestringMeasures the size of the leaf, such as large, medium, or small.
leaf_shapestringIdentifies the shape of the leaf, such as elliptical, heart-shaped, or needle-like.
texturestringIdentifies the texture characteristics of the leaf, such as smooth or rough.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Bean Leaf Detection Dataset?
The Bean Leaf Detection Dataset is a high-quality annotated dataset designed for the agriculture sector, used for detecting diseases and pests on bean plant leaves.
What types of data does this dataset contain?
This dataset contains image data specifically used for object detection tasks.
What is the main application field of the Bean Leaf Detection Dataset?
This dataset is mainly applied in the agricultural field, particularly for the detection and study of plant diseases and pests.
What does object detection mean in the Bean Leaf Detection Dataset?
Object detection refers to identifying and locating objects within an image. This dataset is used to detect and locate diseases and pests on bean leaves.
Why is the Bean Leaf Detection Dataset important for agriculture?
Using the Bean Leaf Detection Dataset helps in early detection of crop diseases and pests, improves yield, and reduces pesticide usage, which is significant for sustainable agricultural development.

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Cite this Work

@dataset{Mobiusi2025,
  title={Bean Leaf Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/f9910196ffc59fab343c2458caa126a2?cate=2},
  urldate={2025-09-15},
  keywords={bean leaf detection, target detection dataset, agricultural dataset, pest and disease detection},
  version={1.0}
}

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