Sweet Potato Target Detection Dataset

#Target Detection #Image Recognition #Agricultural Production #Crop Monitoring #Smart Agriculture

5000 records
1.2G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

The current challenges in the agricultural sector are low crop monitoring efficiency and delayed pest and disease identification. Traditional methods rely on manual observation, which fails to meet the needs of modern agriculture. Existing solutions are mostly image-based analyses, yet they still lack precision and real-time capabilities in target detection. This dataset aims to assist researchers and developers in improving the accuracy of sweet potato target detection to meet the demands for agricultural intelligence. Data collection is carried out by drones under various climate and lighting conditions to ensure data diversity and integrity. In terms of quality control, a combination of multiple rounds of annotation and expert review is used to ensure the accuracy of each data annotation. Data is stored in JPG format and organized by image ID.

Dataset Insights

Sample Examples

92ba0ac0**.jpg|5184*3456|2.85 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_count	int	The number of sweet potato targets in the image.
object_shape	string	Approximate shape of the sweet potato target, such as oval or round.
object_color	string	The primary color of the sweet potato target.
object_orientation	float	The orientation of the sweet potato target, represented in degrees.
object_texture	string	The texture characteristics of the sweet potato surface, such as smooth or rough.

Compliance Statement

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

Frequently Asked Questions

What is the Sweet Potato Object Detection Dataset?: The Sweet Potato Object Detection Dataset is a dataset used for training and testing object detection algorithms, focusing on identifying and locating sweet potatoes in agriculture.

Why is the Sweet Potato Object Detection Dataset beneficial for agriculture?: This dataset can improve the efficiency of automatic recognition and monitoring of sweet potatoes, thus promoting the automation of agricultural production and helping farmers increase productivity.

What are the application scenarios for the Sweet Potato Object Detection Dataset?: This dataset can be used to develop the vision systems of sweet potato harvesting robots, improving the accuracy and efficiency of automated sweet potato harvesting.

How to use the Sweet Potato Object Detection Dataset for model training?: By using the images and annotated data in this dataset, you can train object detection models, which can then be applied to sweet potato detection.

What is the significance of the Sweet Potato Object Detection Dataset for smart agriculture?: It helps achieve agricultural automation, reduces manual labor, increases production efficiency, and promotes sustainable agriculture development.

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Cite this Work

@dataset{Mobiusi2025,
  title={Sweet Potato Target Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/672d329f0d8042a446f0ba4681efed52},
  urldate={2025-09-15},
  keywords={Sweet Potato Target Detection, Agricultural Dataset, Target Detection Dataset},
  version={1.0}
}

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