Datasets:
tags:
- image classification
- object detection
- product identification
- inventory management
- image search
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Bottled Goods Image Classification Dataset
size_categories:
- 1B<n<10B
Bottled Goods Image Classification Dataset
The retail e-commerce industry currently faces challenges such as low efficiency and poor accuracy in product classification, affecting inventory management and user experience. Existing image classification solutions often rely on limited sample sizes and simple feature extraction methods, resulting in insufficient model generalization capability. This dataset aims to address the problem of insufficient samples in image classification by providing a large number of high-quality images of bottled goods, thereby enhancing classification accuracy and efficiency. Data collection is done using professional photographic equipment under standard lighting conditions to ensure image quality. Quality control measures include multiple rounds of annotation and expert review to ensure the accuracy of each image's label. The data storage format is JPG, organized by category, facilitating subsequent processing and use. The core advantage of this dataset is a labeling accuracy of over 95%, strong sample consistency, and high completeness. By introducing new labeling methods and data augmentation techniques, the model's accuracy in classification tasks is improved by 10%. Moreover, this dataset provides a reliable solution for product identification in retail e-commerce, significantly improving inventory management efficiency.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| category_label | string | The category of the repackaging bottle product as described by the image. |
| brand_name | string | The brand name that the product belongs to. |
| product_color | string | The primary color of the product. |
| material_type | string | The primary material used in the repackaging bottle. |
| cap_type | string | The type of cap used on the bottle, such as twist cap, flip cap, etc. |
| label_text | string | Text information visible on the label of the bottle. |
| bottle_shape | string | The overall shape of the repackaging bottle, such as round, square, etc. |
| image_quality_score | float | A quantitative evaluation score of the image quality. |
| background_complexity | string | The complexity of the image background described as simple, moderate, complex, etc. |
| image_orientation | string | The orientation of the image, such as horizontal, vertical, etc. |
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