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:2026-04-15
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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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Onion Harvest Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/3c682f57a2d649e0ec42bac07e7a3264},
urldate={2025-09-15},
keywords={Onion Harvest Detection, Agricultural Target Detection Dataset, Smart Agriculture Data},
version={1.0}
}Using this in research? Please cite us.
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