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file_name
stringclasses
1 value
quality
stringclasses
1 value
sweet_potato_count
stringclasses
1 value
sweet_potato_size
stringclasses
1 value
sweet_potato_color
stringclasses
1 value
background_type
stringclasses
1 value
light_conditions
stringclasses
1 value
field_location
stringclasses
1 value
edc98049b5134932cf2a3184eefb252f.jpg
5184*3456
About 20
Average about 15 cm
Orange
No obvious background
Indoor lighting
Not applicable

Sweet Potato Automatic Counting Dataset

In the agricultural sector, sweet potatoes, as one of the important crops, face challenges such as low efficiency in yield monitoring and management. Traditional manual counting methods are not only time-consuming and labor-intensive but also prone to errors. Existing automatic counting technologies largely rely on simple image processing algorithms, which fail to meet the demands for high precision and efficiency. This dataset aims to provide a rich sweet potato image dataset to promote the application of object detection algorithms in sweet potato counting, addressing the issues of low automation and insufficient counting accuracy. The dataset contains 5000 annotated sweet potato images collected using high-resolution cameras under various lighting and environmental conditions, ensuring data diversity and completeness. For quality control, a multi-round annotation and expert review mechanism is adopted to ensure the consistency and accuracy of data annotations. The data is stored in JPEG format and organized by image ID for convenient retrieval and use.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
sweet_potato_count int The number of sweet potatoes in the image.
sweet_potato_size float The average size of the sweet potatoes in centimeters.
sweet_potato_color string The dominant color of the sweet potatoes.
background_type string The type of background in the image, such as soil or grass.
light_conditions string The lighting conditions when the image was taken, such as sunny or cloudy.
field_location string Description of the field location at the time of shooting.

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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