Datasets:
tags:
- Object Detection
- Image Classification
- Agricultural Monitoring
- Smart Agriculture
- Crop Management
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Tomato Maturity Detection Dataset
size_categories:
- 1B<n<10B
Tomato Maturity Detection Dataset
The current agricultural industry faces issues such as low crop management efficiency and high cost of manual inspection, particularly in determining the maturity of tomatoes, affecting yield and market sales. Existing solutions rely heavily on manual observation, which is subjective and inefficient. This dataset aims to help develop accurate automated detection models by providing high-quality images of tomato maturity, thereby enhancing agricultural production efficiency. The dataset includes 5000 high-resolution images of tomatoes collected from various growing environments, taken with professional cameras, and standardized under multiple conditions such as lighting and angle. In terms of quality control, the data has gone through multiple rounds of labeling and consistency checks to ensure labeling accuracy. The data is stored in JPEG format, organized by folders for ease of subsequent processing and analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| ripe_status | string | Indicates the ripeness status of the tomato, such as ripe, half-ripe, and growing. |
| color_variation | string | Describes the color variations of the tomato, including stages like green, yellow-green, orange, and red. |
| size_category | string | Categorizes the tomatoes in the image based on their size, such as small, medium, and large. |
| shape_uniformity | string | Describes whether the shape of the tomato is uniform, with possible values including uniform and non-uniform. |
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