Onion Harvest Detection Dataset

#Target Detection #Image Classification #Data Annotation #Agricultural Detection #Smart Agriculture #Crop Growth Monitoring

15000 records
2.9G
JPG/PNG/JSON
CATL
MOBIUSI INC

Updated:2026-04-14

AI Analysis & Value Prop

The current agricultural industry faces challenges such as labor shortages and inefficiency, especially during crop harvesting stages. Existing manual detection methods are not only time-consuming but also prone to errors, leading to yield losses. To improve harvesting efficiency and accuracy, this dataset aims to provide high-quality target detection data for smart agriculture systems. The dataset contains images of various onions during the harvesting stage, captured under natural harvesting environments using high-resolution imaging equipment. Through multiple rounds of annotation and expert review, we ensure high data quality and utilize consistency checks to improve annotation accuracy. The data is stored in JPG format, with structured information in JSON files, facilitating subsequent data processing and analysis.

Dataset Insights

Sample Examples

60fdeee7**.jpg|3648*5472|2.97 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
onion_count	int	The number of onions detected in the image.
onion_size	string	Classification of onion size detected in the image, e.g., large, medium, small.
onion_maturity	string	Determines the maturity state of onions based on color or other visible features.
lighting_conditions	string	The lighting conditions during image capture, e.g., sunny, cloudy, shadows.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
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 types of images are included in the Onion Harvest Detection Dataset?: The Onion Harvest Detection Dataset mainly includes high-resolution color images for object detection, capturing onions at different growth stages and harvest conditions.

How can the Onion Harvest Detection Dataset be used to improve harvest efficiency?: By training models with this dataset, automatic recognition and positioning of onions can be achieved, optimizing the harvesting process and reducing the need for manual labor.

What are the benefits of using the Onion Harvest Detection Dataset in agriculture?: The dataset helps automate agricultural production, reduce labor costs, increase productivity, and minimize waste through precise object detection technology.

What features does the object detection technology in the Onion Harvest Detection Dataset have?: The object detection technology in the dataset can accurately identify and tag the location and number of onions, adapt to various lighting and weather conditions, and exhibit high robustness.

How does the Onion Harvest Detection Dataset support agricultural intelligence?: By providing image-based object detection data, it supports the development of smart agricultural applications, enables monitoring and management of crop conditions, and increases decision-making accuracy.

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Cite this Work

@dataset{Mobiusi2025,
  title={Onion Harvest Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/3c682f57a2d649e0ec42bac07e7a3264?dataset_scene_id=5},
  urldate={2025-09-15},
  keywords={Onion Harvest Detection, Agricultural Target Detection Dataset, Smart Agriculture Data},
  version={1.0}
}

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