Pasta Product Occlusion Image Dataset
#image classification #object detection #product recognition #computer vision #retail analysis
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-10-14
AI Analysis & Value Prop
The retail e-commerce industry is experiencing significant growth, yet it faces challenges in accurately recognizing products that are partially occluded, which can lead to poor customer experiences and lost sales. Existing solutions often rely on clear product images, failing to account for the real-world scenarios where occlusions occur. This dataset aims to provide a robust collection of images featuring popular pasta products from brands like Barilla, Uncle Ben’s, and De Cecco, showcasing various occlusion scenarios to enhance machine learning models' performance in product detection tasks.
Data collection involved capturing high-resolution images of pasta products under various conditions, including different lighting and angles, to ensure diversity. Quality control measures included multi-round annotations, consistency checks among annotators, and expert reviews to ensure high accuracy in labeling. The dataset is stored in JPG format, organized in folders categorized by product type and occlusion type to facilitate easy access and processing.
Dataset Insights
Sample Examples
79ac1b05**.jpg|1321*1512|252.90 KB
62f5b7b9**.jpg|1224*1632|139.54 KB
52dcdacb**.jpg|1224*1632|157.53 KB
09891625**.jpg|1141*1359|334.10 KB
7ac2f54d**.jpg|1600*912|121.00 KB
3a89a74f**.jpg|1632*1224|201.72 KB
d8f194df**.jpg|1224*1632|390.93 KB
23a897af**.jpg|1224*1632|208.43 KB
e6502f7d**.jpg|1224*1632|155.35 KB
1e65a9a8**.jpg|1154*1732|150.96 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| product_type | string | Specific type of pasta, such as macaroni, thin noodles, wide noodles, etc. |
| occlusion_level | string | The degree to which the pasta product is occluded by other objects in the image, such as unoccluded, partially occluded, or mostly occluded. |
| package_color | string | Main color of the pasta product's packaging. |
| brand | string | Brand name of the pasta. |
| package_condition | string | Condition of the product packaging, such as intact, damaged, deformed, etc. |
| price_tag_visibility | string | Visibility of the price tag in the image, such as visible or not visible. |
| promotion_label | boolean | Whether there is a promotional tag, such as present or absent. |
| shelf_location | string | Position of the pasta on the shelf, such as top, middle, or bottom tier. |
| quantity_visible | integer | The number of pasta products visible in the image. |
| product_arrangement | string | The way products are arranged on the shelf, such as lying flat, upright, or stacked. |
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 Pasta Product Occlusion Recognition Image Dataset?
- The Pasta Product Occlusion Recognition Image Dataset is focused on capturing images where pasta products are occluded in various scenarios, primarily to enhance product recognition capabilities on e-commerce platforms.
- How is the Pasta Product Occlusion Recognition Image Dataset applied in the retail industry?
- This dataset can be used to train object detection models to help e-commerce platforms more accurately recognize and display pasta products, even if they are partially occluded.
- What are the main advantages of using the Pasta Product Occlusion Recognition Image Dataset?
- The main advantages of using this dataset include improved accuracy and robustness of pasta product recognition, even in scenarios where the products are occluded.
- How do object detection techniques work in the Pasta Product Occlusion Recognition Image Dataset?
- The dataset uses object detection techniques by annotating the position of products in occluded images to train models, enabling them to recognize products under occlusion.
- Is the Pasta Product Occlusion Recognition Image Dataset limited to pasta products?
- While the dataset focuses on pasta products, its techniques and methods can be extended to the occlusion recognition of other retail products.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Pasta Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/916f5befa44086b9ec091c6096dc8aad},
urldate={2025-08-28},
keywords={pasta dataset,image occlusion dataset,retail e-commerce dataset,computer vision,object detection},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder