Edible Oil Product Occlusion Image Dataset
#Object Detection #Image Segmentation #Classification #Product Recognition #Image Analysis #E-commerce #Computer Vision
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The retail e-commerce industry is facing significant challenges in accurately detecting and recognizing products that may be partially obscured in images. Existing solutions often struggle with occlusion, leading to reduced accuracy in product identification and customer satisfaction. This dataset aims to address the technological issue of product occlusion by providing a diverse set of images featuring common edible oil brands like Bertolli, Mazola, and Crisco in various occlusion scenarios. The dataset consists of images collected using high-resolution cameras in controlled lighting environments, ensuring clarity and detail. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high-quality labels. The data is organized in JPG format, stored in a structured directory based on product categories and occlusion levels.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| brand_name | string | The brand name of the edible oil product. |
| product_name | string | The specific product name of the edible oil. |
| occlusion_level | integer | The degree to which the edible oil product is occluded in the image, represented as a percentage of occlusion. |
| visible_part | string | The visible parts of the edible oil product in the image, such as the bottle mouth, label, etc. |
| background_clutter | integer | The complexity of the image background; a higher value indicates a more cluttered background. |
| light_conditions | string | The lighting conditions when the image was taken, such as indoor, outdoor, daylight, shadow, etc. |
| image_sharpness | integer | The sharpness score of the image; a higher value indicates a sharper image. |
| container_type | string | The type of container for the edible oil product, such as bottled, canned, etc. |
| label_visibility | integer | The visibility score of the label on the edible oil product. |
| image_orientation | string | The orientation of the image, such as front, side, back, 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 |
Frequently Asked Questions
- What is the edible oil product occlusion recognition image dataset?
- The edible oil product occlusion recognition image dataset is a collection of images featuring multiple brands of edible oil under partial occlusion, aimed at improving object recognition technology accuracy.
- In which fields can the edible oil product occlusion recognition image dataset be applied?
- This dataset is primarily applied in the retail sector, especially for improving the accuracy of edible oil product recognition under occlusion conditions.
- How to use the edible oil product occlusion recognition image dataset to improve object detection technology?
- By training object detection models to recognize partially occluded images of edible oil products, improving their accuracy in such scenarios.
- What data modality does this dataset contain?
- The edible oil product occlusion recognition image dataset contains the image data modality.
- Why is the edible oil product occlusion recognition image dataset helpful for the retail industry?
- Because it can enhance the accuracy of recognizing edible oil products under occlusion, thus optimizing inventory management and sales decisions.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Edible Oil Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/07731cf616de38dd7627f67498141e4c?dataset_scene_id=9},
urldate={2025-08-28},
keywords={edible oil dataset,occlusion image dataset,retail e-commerce dataset,product recognition dataset},
version={1.0}
}Using this in research? Please cite us.
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