Datasets:
file_name stringclasses 1 value | quality stringclasses 1 value | defect_type stringclasses 1 value | defect_location stringclasses 1 value | defect_severity stringclasses 1 value | pepper_color stringclasses 1 value | surface_texture stringclasses 1 value | pepper_shape stringclasses 1 value | size_dimension stringclasses 1 value | occlusion_level stringclasses 1 value |
|---|---|---|---|---|---|---|---|---|---|
57a9125a47a60edcc7d851699c747916.jpg | 5184*3456 | No obvious defects | None | None | Green | Smooth | Long and thin | Length is about 15-20 cm | No occlusion |
Green Pepper Appearance Quality Detection Dataset
The current agricultural sector faces challenges in the appearance quality detection of agricultural products such as peppers. Traditional manual detection methods are inefficient and lack accuracy, often affected by subjective factors. Existing automated detection technologies largely rely on single image processing algorithms, making them unsuitable for varying environments and diverse quality detection needs. Therefore, the creation of this dataset aims to provide a rich sample repository to support the training of deep learning-based object detection models, enhancing automation and accuracy in detection. The dataset contains 5000 high-quality green pepper images, captured using high-resolution cameras under natural lighting conditions to ensure the authenticity and diversity of the images. Quality control of the data includes multiple rounds of annotation and consistency checks, with all annotations reviewed by experienced experts. The final data is stored in JPG format, organized by category and quality grade for easy subsequent model training and validation.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| defect_type | string | Identifies the type of external defects in the green pepper, such as scratches, spots, etc. |
| defect_location | string | Indicates the location of defects on the green pepper in the image, such as top, bottom, middle. |
| defect_severity | string | Describes the severity of the defect on the green pepper, such as mild, moderate, severe. |
| pepper_color | string | Records the color characteristic of the green pepper, usually shades of green. |
| surface_texture | string | Describes the surface texture of the green pepper, such as smooth, rough. |
| pepper_shape | string | Identifies the shape characteristics of the green pepper, such as elongated, round. |
| size_dimension | string | Specifies the size dimensions of the green pepper, such as the length and width measurements. |
| occlusion_level | string | Describes the extent to which the green pepper is occluded by other objects in the image. |
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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