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file_name
stringclasses
4 values
quality
stringclasses
3 values
ripe_status
stringclasses
4 values
color_variation
stringclasses
4 values
size_category
stringclasses
2 values
shape_uniformity
stringclasses
1 value
2eb1574b584125f0627bb123d3004259.jpg
3448*4592
growing
green to orange
medium
uniform
39849ebf4ef618f1eec54838ae4340bf.jpg
3024*4032
ripe
red
small
uniform
be5843e402e784b4bbcb2fa12f0516c9.jpg
3456*5184
ripe and semi-ripe
green, orange, red
medium
uniform
fe7a0b23b13e106013b4bf2e382d6e52.jpg
3456*5184
half-ripe
yellow-green to orange
medium
uniform

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

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