Strawberry Fruit Recognition Dataset
#Target Detection #Object Localization #Fruit Detection #Agricultural Automation #Smart Agriculture
- 15000 records
- 2.7G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-17
AI Analysis & Value Prop
The current agricultural industry faces the challenges of low fruit detection efficiency and high labor costs, especially in the process of picking and managing strawberries. Traditional methods are not only time-consuming but also prone to errors. Existing solutions mostly rely on manual recognition, lacking efficient automated detection methods. This dataset aims to assist in training AI models for efficient detection and localization of strawberry fruits by providing images from various angles and environments. The dataset construction process includes collecting images from multiple strawberry cultivation bases using high-resolution cameras, ensuring data diversity and representativeness. Quality control involves multiple rounds of annotation and expert review to ensure consistency and accuracy of the annotations. Data is stored in JPG format, organized by folders for easy subsequent use and expansion.
Dataset Insights
Sample Examples
b84bad40**.jpg|4032*3024|2.82 MB
f903ee6c**.jpg|3456*4608|3.24 MB
8dbebb0f**.jpg|4032*3024|757.52 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| ripe_classification | string | Classification of the ripeness of the strawberry fruits (e.g., unripe, ripe, overripe). |
| defect_presence | boolean | Indicates whether there are defects in the strawberry fruits in the image. |
| cluster_density | float | The density of clusters of strawberry fruits in the image. |
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 Strawberry Fruit Detection Dataset?
- The Strawberry Fruit Detection Dataset is an image dataset used for detecting and locating strawberry fruits, aiming to promote agricultural intelligence.
- What applications is the Strawberry Fruit Detection Dataset suitable for?
- This dataset can be used for the development of agricultural automation systems, strawberry yield prediction, and research on automated picking robots.
- Why is the Strawberry Fruit Detection Dataset useful for agriculture?
- The dataset provides essential training data that can aid in developing intelligent agricultural technologies capable of automatically identifying and handling strawberry fruits, thus boosting productivity.
- What data modalities does the Strawberry Fruit Detection Dataset include?
- The dataset includes image data for the purpose of strawberry fruit object detection.
- How can the quality of the Strawberry Fruit Detection Dataset be assessed?
- The quality of the dataset can be assessed based on its annotation accuracy, image clarity, and the completeness of fruit annotations.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Strawberry Fruit Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/ac75b053388aaf397a2b3e01c9486022},
urldate={2025-09-15},
keywords={Strawberry Recognition Dataset, Target Detection, Agricultural AI, Fruit Detection},
version={1.0}
}Using this in research? Please cite us.
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