Datasets:
tags:
- image classification
- variety recognition
- agricultural research
- crop classification
- intelligent agriculture
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Raspberry Variety Classification Dataset
size_categories:
- 1B<n<10B
Raspberry Variety Classification Dataset
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.
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 |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com