Raspberry Variety Classification Dataset

#image classification #variety recognition #agricultural research #crop classification #intelligent agriculture

5000 records
1.2G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

The current agricultural industry faces challenges in managing the diversity of crop types, especially in raspberry cultivation and variety identification. Existing solutions often rely on manual identification, which is inefficient and prone to errors. This dataset aims to address the issue of low accuracy in variety classification by providing high-quality raspberry images, meeting the needs of intelligent agriculture. The dataset structure includes image ID, variety name, image path, and label information. Data collection uses high-resolution cameras under natural light conditions to ensure clarity and authenticity. In terms of quality control, multiple rounds of annotation and expert review enhance annotation consistency and ensure data reliability. Data is stored in JPG format for quick loading and use.

Dataset Insights

Sample Examples

bdeef9e8**.jpg|4160*6240|1.73 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
berry_color	string	The color of the raspberry, such as red, yellow, etc.
berry_size	float	The size of the raspberry measured in centimeters.
berry_shape	string	The shape of the raspberry, such as round, oval, etc.
surface_texture	string	The texture characteristics of the raspberry surface.
leaf_presence	boolean	Whether the image includes leaves.
stem_visibility	boolean	The visibility of the stem in the image.
berry_clustering	boolean	Whether the raspberries are clustered together.

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 kind of image modality information does the Raspberry Varieties Classification Dataset include?: The dataset includes various images of raspberry varieties used for identifying and classifying different raspberry types.

What is the application of the Raspberry Varieties Classification Dataset in the agricultural sector?: In agriculture, this dataset can help improve the efficiency of raspberry variety identification and classification, aiding the development of smart agriculture.

How do image classification datasets aid the development of smart agriculture?: Image classification datasets can improve the accuracy of crop management by precisely classifying raspberry varieties, saving costs, and optimizing resource utilization.

What agricultural problems can be solved using the Raspberry Varieties Classification Dataset?: This dataset can address the challenge of distinguishing between raspberry varieties and provide reliable data support for agricultural production and research.

What are the features of the Raspberry Varieties Classification Dataset?: Features of this dataset include a diverse range of raspberry variety images suitable for various image classification tasks, particularly in agricultural applications.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2025,
  title={Raspberry Variety Classification Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/3017a0e0b7bd1dc0c7a3ed15e122324e?cate=2},
  urldate={2025-09-15},
  keywords={raspberry variety classification, agricultural dataset, image classification dataset, intelligent agriculture},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Products

Scene

Domain

Modality

Task