Tomato Maturity Detection Dataset
#Object Detection #Image Classification #Agricultural Monitoring #Smart Agriculture #Crop Management
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
39849ebf**.jpg|3024*4032|2.08 MB
be5843e4**.jpg|3456*5184|1.32 MB
fe7a0b23**.jpg|3456*5184|1.23 MB
2eb1574b**.jpg|3448*4592|2.23 MB
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 |
Frequently Asked Questions
- What type of image information does this dataset contain?
- The Tomato Ripeness Detection Dataset contains images for detecting tomato ripeness, aiding in the analysis and recognition of different ripeness stages.
- How can this dataset be used to enhance agricultural intelligent management?
- By identifying the ripeness of tomatoes, farmers can adjust harvest timing and methods according to ripeness levels, thereby increasing efficiency and yield.
- What is the role of this dataset in object detection?
- The Tomato Ripeness Detection Dataset is used to train object detection algorithms to accurately identify and classify tomatoes of different ripeness levels.
- What is the importance of the Tomato Ripeness Detection Dataset?
- This dataset is significant for optimizing agricultural production processes and enhancing food supply chain efficiency, supporting the development of precision agriculture and smart farming.
- Is this dataset suitable for training machine learning models?
- Yes, this dataset is designed for training machine learning models to recognize and manage tomato ripeness in agricultural applications.
- What should be considered when using this dataset?
- When using this dataset, consider that different lighting conditions and camera angles may affect recognition results; preprocessing and data augmentation might be necessary.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Tomato Maturity Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/04b59031781febc35ee9811e6e6df8b2},
urldate={2025-09-15},
keywords={Tomato Maturity Dataset, Object Detection, Agricultural Dataset, Smart Agriculture},
version={1.0}
}Using this in research? Please cite us.
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