Toothpaste and Toothbrush Product Occlusion Image Dataset

#object detection #image segmentation #product recognition #image classification #e-commerce applications
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-14

AI Analysis & Value Prop

The toothpaste and toothbrush market is currently facing challenges in accurately detecting and classifying products in images due to high levels of occlusion from packaging and other items. Existing solutions often fail to effectively handle these occlusions, leading to reduced accuracy in product recognition systems. This dataset aims to address these technical challenges by providing a diverse set of occluded images of popular toothpaste and toothbrush brands, such as Colgate, Oral-B, and Sensodyne, thereby meeting the business needs of retailers and e-commerce platforms for improved product visibility and searchability. The dataset is collected using high-resolution cameras in controlled environments to ensure quality. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high standards. The data is stored in JPG format, organized by product categories and occlusion status.

Dataset Insights

Sample Examples

518ce26c**.jpg|1280*1706|463.43 KB

08c894ac**.jpg|1280*2770|636.42 KB

ea7ff305**.jpg|1280*960|171.02 KB

ce52ac6c**.jpg|1280*1081|218.67 KB

ef287651**.jpg|1280*960|282.24 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
object_typestringThe category of the items in the image, such as toothpaste or toothbrush.
occlusion_levelstringThe degree to which objects in the image are obstructed, such as: unobstructed, partially obstructed, fully obstructed

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the purpose of the toothpaste and toothbrush occlusion recognition image dataset?
This dataset is mainly used in the e-commerce sector to improve system recognition abilities for occluded products.
What types of images are included in the dataset?
The dataset includes images of various toothpaste and toothbrush products under different occlusion conditions.
How does this dataset support image recognition on e-commerce platforms?
By improving the accuracy of product recognition under occlusion conditions, it helps e-commerce platforms display and recommend products more accurately.
What is the significance of object detection datasets for research?
Object detection datasets provide researchers with abundant training and testing materials to optimize the detection performance of algorithms.
How can this dataset be used for training machine learning models?
The images and label information in the dataset can be used to train deep learning models to enhance their ability to recognize occluded objects.

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Cite this Work

@dataset{Mobiusi2025,
  title={Toothpaste and Toothbrush Product Occlusion Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/58db479aac206a9055832db14230b5a8},
  urldate={2025-08-28},
  keywords={toothpaste dataset,toothbrush image dataset,occlusion detection,image classification,e-commerce product recognition},
  version={1.0}
}

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