Strawberry Ripeness Detection Dataset
#Object Detection #Image Classification #Intelligent Picking #Grading Detection #Agricultural Automation
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-06
AI Analysis & Value Prop
In the current agricultural sector, the development of intelligent picking and grading technology is constrained by the low efficiency and accuracy of traditional manual recognition, especially in the judgment of fruit ripeness. Existing solutions often rely on manual experience and lack systematic standards. This dataset aims to provide high-quality strawberry ripeness image data to support the effective training and application of AI models in fruit ripeness detection tasks. The dataset includes strawberry images taken under different lighting and environmental conditions, collected using professional cameras in a greenhouse environment to ensure the images are clear and representative. In terms of quality control, we implemented multiple rounds of annotation and consistency checks and invited agricultural experts to review, ensuring the accuracy and reliability of the data. The data is stored in JPG format and organized by maturity stages for easy subsequent processing and analysis.
Dataset Insights
Sample Examples
7c5f9988**.jpg|4032*3024|2.82 MB
f8afdeb1**.jpg|3456*4608|3.24 MB
0dec02f2**.jpg|4032*3024|757.52 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| strawberry_color | string | Represents the overall color of the strawberry, used to assess ripeness. |
| spot_presence | boolean | Indicates whether there are spots on the surface of the strawberry, potentially affecting ripeness assessment. |
| shape_uniformity | float | Quantifies the uniformity of the strawberry's shape, generally related to its ripeness. |
| size | float | Measures the size of the strawberry, typically based on diameter or length. |
| surface_texture | string | Describes the roughness or smoothness of the strawberry's surface texture. |
| bruising | boolean | Indicates whether the strawberry has bruising, potentially affecting its quality and grade. |
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 is the main purpose of the Strawberry Maturity Detection Dataset?
- The main purpose of the Strawberry Maturity Detection Dataset is to develop AI systems that automatically determine strawberry maturity, thereby promoting the advancement of intelligent harvesting and grading technologies.
- How does this dataset assist the agriculture industry?
- This dataset assists the agriculture industry by automating the detection of strawberry maturity, optimizing harvesting processes, improving labor efficiency, and reducing labor costs.
- What data modalities does the Strawberry Maturity Detection Dataset include?
- The Strawberry Maturity Detection Dataset includes image data modalities for object detection.
- What role do object detection datasets play in the agriculture sector?
- In the agriculture sector, object detection datasets are used to identify the condition and features of crops, thus aiding farmers and agricultural technicians in scientific management and decision-making.
- How does the Strawberry Maturity Detection Dataset promote the development of intelligent harvesting technologies?
- By providing a large amount of labeled data, the Strawberry Maturity Detection Dataset can be used to train machine learning models to recognize mature strawberries, thereby promoting the development of intelligent harvesting technologies.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Strawberry Ripeness Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/c098bf88f3cb00d03987c0228ed7eb44?cate=2},
urldate={2025-09-15},
keywords={Strawberry Ripeness Detection, Object Detection Dataset, Agricultural AI, Intelligent Picking},
version={1.0}
}Using this in research? Please cite us.
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