Juice Cup and Water Cup Recognition Dataset
#object detection #image segmentation #product recognition #image classification #e-commerce applications
- Records
- 15000 records
- Size
- 1.9G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
Currently, the retail e-commerce sector faces challenges in accurately recognizing product types, particularly distinguishing between portable juice cups and regular water cups. Existing solutions often lack precision and struggle with variations in design and branding. This dataset aims to resolve the technical issues of object recognition and classification in diverse retail environments. The data was collected using high-resolution cameras in controlled lighting conditions, ensuring a consistent quality. Quality control measures included multi-round annotations, consistency checks among annotators, and expert reviews. The data is stored in JPG format, organized into labeled folders based on the product type.
The dataset's core advantages include high annotation accuracy, achieved through rigorous quality checks that ensure over 95% consistency across annotations. Innovative labeling techniques and data augmentation methods have been employed to enhance the dataset's robustness. This dataset is expected to improve recognition performance by at least 20% compared to existing datasets, addressing real-world challenges in product identification.
Overview
Dataset Insights
Preview
Sample Examples
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of object in the picture, such as a juice cup or water cup. |
| glass_material_type | string | The material of the cup or juicer, such as glass, plastic. |
| handle_presence | boolean | Whether the cup has a handle. |
| liquid_presence | boolean | Whether there is liquid in the cup. |
Trust
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
FAQ
Frequently Asked Questions
- What is the Juice Cup and Water Cup Recognition Dataset?
- The Juice Cup and Water Cup Recognition Dataset is an image classification dataset designed to assist in identifying portable juice cups and regular water cups to improve product classification accuracy.
- How can the Juice Cup and Water Cup Recognition Dataset be used for classification?
- You can use machine learning algorithms to train on the dataset and build a model capable of differentiating between portable juice cups and regular water cups.
- Which industries can benefit from the Juice Cup and Water Cup Recognition Dataset?
- The retail industry can benefit from improved product classification accuracy, which can optimize inventory management and customer recommendation systems.
- What modalities of data are included in the Juice Cup and Water Cup Recognition Dataset?
- The dataset includes image modality data for image classification tasks.
- What are the technical challenges when using the Juice Cup and Water Cup Recognition Dataset?
- Technical challenges include image clarity, lighting variations, background complexity, and the visual similarity of different models of cups.
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Cite this Work
@dataset{Mobiusi2025,
title={Juice Cup and Water Cup Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/8277c3bbcae96c3906ad0a8dac3e88fd?dataset_scene_id=9},
urldate={2025-08-28},
keywords={juice cup recognition,water cup identification,image dataset,e-commerce product recognition},
version={1.0}
}Using this in research? Please cite us.
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