Milk Powder Baby Products Occluded Image Dataset
#image segmentation #object detection #object recognition #image classification #retail analysis
- 15000 records
- 3.6G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The retail e-commerce sector is currently facing challenges with effective product recognition due to occlusion in images, which can significantly hinder the customer experience. Existing solutions often rely on non-occluded images, limiting their effectiveness in real-world scenarios. This dataset aims to address the specific technical problem of identifying and classifying occluded baby product images, fulfilling the business need for enhanced image recognition capabilities in e-commerce. The dataset comprises images collected from various retail environments using high-resolution cameras, ensuring diverse occlusion scenarios. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. Data is stored in JPG format, organized into folders by category, and includes metadata files for easy access and processing.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_brightness | float | The overall brightness value of the image, used to determine the lighting conditions of the image. |
| image_contrast | float | The contrast value of the image reflects the difference between light and dark. |
| number_of_objects | int | The number of specific commodity targets detected in the image. |
| occlusion_level | float | The extent to which products are blocked in the image, ranging from 0 to 1. |
| dominant_color | string | The dominant color in the image. |
| sharpness | float | The sharpness measurement of the image. |
| noise_level | float | The noise level in the image, indicating the quality of the image. |
| angle_of_view | int | The horizontal viewing angle of the camera when capturing the image. |
| background_complexity | int | The complexity of the background in the image, affecting the difficulty of target recognition. |
| focus_depth | float | The depth of field range of the image, affecting the clear display of the product. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 is the milk powder and maternal-infant product occlusion recognition image dataset?
- The milk powder and maternal-infant product occlusion recognition image dataset is a target detection dataset focused on identifying milk powder and maternal-infant products that are partially obscured by other objects.
- Which industry is this dataset mainly used for?
- This dataset is mainly used in the retail industry to help improve the accuracy of product recognition.
- What are the characteristics of the images in the dataset?
- The images in the dataset feature occluded milk powder and maternal-infant products, which can be used to train models to better recognize obscured items.
- Why is occlusion recognition of milk powder and maternal-infant products needed?
- Recognizing occluded milk powder and maternal-infant products can improve the efficiency of automated inventory management and product display in stores.
- How to use this dataset for machine learning model training?
- The occluded images in the dataset can be used as input to train object detection algorithms, enhancing the model's recognition capabilities in complex scenes.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Milk Powder Baby Products Occluded Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f53b852b2ffcb84b8312b2f8d279c0ef},
urldate={2025-08-28},
keywords={milk powder dataset,baby products image dataset,occluded images,retail e-commerce dataset},
version={1.0}
}Using this in research? Please cite us.
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