Grape Sorting Machinery Monitoring Dataset
#object detection #image recognition #agricultural monitoring #object detection #crop management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current agricultural industry faces challenges of low production efficiency and high labor costs, especially in the fruit and vegetable sorting process. Traditional manual sorting methods are not only time-consuming but also prone to errors. Existing mechanical sorting equipment lacks precision and adaptability, making it difficult to meet the demands for high efficiency and accuracy. To enhance sorting efficiency and accuracy, this dataset aims to provide high-quality training data for developing high-performance object detection algorithms. The dataset includes monitoring images for different types of grapes, collected using various shooting devices under different lighting and environmental conditions. The quality control of the data involves multiple rounds of annotation and expert review to ensure annotation consistency and accuracy. The data storage format is JPG, organized by category and feature to facilitate subsequent training and analysis.
Dataset Insights
Sample Examples
ffb6e3bd**.jpg|6960*4640|8.20 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of the detection target in the image, such as grape, leaf, or machine part. |
| grape_ripeness_level | string | The ripeness level of the detected grapes, such as unripe, ripe, or overripe. |
| machine_part_status | string | The operational status of the machine parts in the image, such as running, stopped, or damaged. |
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 type of dataset is the Grape Sorting Machine Monitoring Dataset?
- The Grape Sorting Machine Monitoring Dataset is an object detection dataset focusing on the agricultural sector.
- In which industry sector is this dataset applied?
- This dataset is applied in the agricultural industry sector to enhance the monitoring efficiency of grape sorting machines.
- What data modalities are mainly included in the Grape Sorting Machine Monitoring Dataset?
- The dataset mainly includes image data modality, used for object detection analysis.
- How can the Grape Sorting Machine Monitoring Dataset be used to improve object detection performance?
- The dataset can be used to train machine learning models to improve the object detection performance of grape sorting machines.
- How can this dataset aid agricultural automation?
- By providing precise object detection data, the Grape Sorting Machine Monitoring Dataset can optimize machine operations, reducing the need for manual intervention.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Grape Sorting Machinery Monitoring Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/1a4591952ab9fa7b12871c65236779b6},
urldate={2025-09-15},
keywords={grape sorting, agricultural dataset, object detection, machinery monitoring},
version={1.0}
}Using this in research? Please cite us.
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