Strawberry Color Feature Analysis Dataset
#object detection #image classification #color analysis #agricultural production #quality inspection #smart agriculture
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The agricultural sector currently faces challenges in detecting the quality and maturity of fruits, especially in high-value crops like strawberries. Accurately assessing the maturity and quality of fruits is key to improving market competitiveness. However, existing manual detection methods are inefficient and highly subjective, often leading to inconsistent and inaccurate results. Therefore, this dataset aims to address technical issues related to color extraction and fruit maturity and quality correlation analysis in AI training by collecting samples of strawberries with different colors. Data collection is done using professional photographic equipment in a greenhouse with uniform lighting to ensure sample diversity and representativeness. Quality control measures include multiple rounds of annotation, consistency checks, and expert review to ensure data accuracy and reliability. Data is stored in JPG format and organized by image path for easy subsequent processing and analysis.
Overview
Dataset Insights
Preview
Sample Examples
42ad9fde**.jpg|4032*3024|2.82 MB
c53b08bb**.jpg|3456*4608|3.24 MB
094a3d96**.jpg|4032*3024|757.52 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| color_dominance | string | The dominant color present in the strawberry image, such as red or green. |
| maturity_level | string | The maturity level determined based on the color of the strawberry. |
| color_variance | float | The range of color variation within the strawberry image. |
| seed_visibility | string | The visibility level of seeds on the surface of the strawberry. |
| surface_texture | string | The surface texture characteristics of the strawberry, such as smooth or rough. |
| defect_presence | boolean | Indicates whether there are any defects present in the image. |
| size_estimation | float | The estimated size of the strawberry derived from the image. |
Trust
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
FAQ
Frequently Asked Questions
- What types of images are included in the Strawberry Color Feature Analysis Dataset?
- The Strawberry Color Feature Analysis Dataset includes images related to strawberries, which are used to detect color variations and maturity status.
- How does the Strawberry Color Feature Analysis Dataset aid agricultural automation?
- The dataset provides data support for analyzing the relationship between strawberry color and maturity, which helps in optimizing harvest and quality control in smart agriculture.
- Why is the Strawberry Color Feature Analysis Dataset important?
- Understanding the color features of strawberries aids in accurately determining their maturity, thus improving harvesting efficiency and quality management.
- Who can benefit from the Strawberry Color Feature Analysis Dataset?
- Agricultural researchers, farmers, and agritech developers can leverage information from this dataset to enhance practical applications.
- What is the relationship between strawberry color features and maturity?
- Strawberry color changes usually indicate different stages of maturity, and analysis can determine the optimal picking time to maintain quality.
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Cite this Work
@dataset{Mobiusi2025,
title={Strawberry Color Feature Analysis Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/7f803095364b52a825e47756e1f98ac0?dataset_scene_id=5},
urldate={2025-09-15},
keywords={strawberry dataset, object detection, agricultural data, image analysis},
version={1.0}
}Using this in research? Please cite us.
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