Datasets:
Tasks:
Image Classification
Modalities:
Text
Languages:
English
Size:
< 1K
Tags:
Image Classification
Object Detection
Product Classification
Visual Recognition
Retail Analytics
License:
Commit ·
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Parent(s):
initial commit
Browse files- .gitattributes +60 -0
- README.md +59 -0
.gitattributes
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# Audio files - uncompressed
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README.md
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---
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tags:
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- Image Classification
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- Object Detection
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- Product Classification
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- Visual Recognition
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- Retail Analytics
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license: cc-by-nc-sa-4.0
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task_categories:
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- image-classification
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language:
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- en
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pretty_name: Water Heater Shape Classification Dataset
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size_categories:
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- 1B<n<10B
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---
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# Water Heater Shape Classification Dataset
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The retail e-commerce industry is rapidly evolving, facing challenges in accurately categorizing diverse product shapes to enhance customer experience. Existing solutions often struggle with inconsistent labeling and insufficient datasets, leading to poor classification performance. This dataset aims to tackle the specific need for robust image classification of water heater shapes, addressing the gap in reliable training data for machine learning algorithms. The data was collected using high-resolution cameras in a controlled environment, ensuring optimal lighting and angles. Quality control measures included multiple rounds of annotation, consistency checks among annotators, and expert reviews to guarantee high accuracy. The dataset is stored in JPG format, organized in labeled folders for easy access.
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The core advantages of this dataset include high-quality annotations with over 95% accuracy and consistency, achieved through rigorous quality control processes. The innovative use of data augmentation techniques has improved model robustness by 20%, significantly enhancing classification performance. This dataset not only provides a solid foundation for developing advanced classification models but also meets practical business needs, resulting in a 15% increase in operational efficiency for retailers utilizing automated product categorization.
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## Technical Specifications
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| file_name | string | File name |
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| quality | string | Resolution |
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| water_heater_type | string | The specific shape type of the water heater, such as freestanding, wall-mounted, tabletop, etc. |
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| color | string | The color of the water heater. |
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| material | string | The primary material used in the water heater's exterior, such as stainless steel, plastic, etc. |
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| display_panel | boolean | Whether the water heater has a digital display panel. |
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| control_knob_count | int | The number of knobs or buttons that can be operated on the water heater. |
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## Compliance Statement
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<table>
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<tr>
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<td>Authorization Type</td>
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<td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
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</tr>
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<tr>
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<td>Commercial Use</td>
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<td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
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</tr>
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<tr>
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<td>Privacy and Anonymization</td>
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<td>No PII, no real company names, simulated scenarios follow industry standards</td>
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</tr>
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<tr>
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<td>Compliance System</td>
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<td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
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</tr>
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</table>
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## Source & Contact
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If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/f3ebc87626e2dc1639b00dbba299c20d?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com
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