Urban Household Waste Multiclass Visual Recognition and Intelligent Sorting Annotated Dataset
#Image classification #waste category recognition #object detection #sorting decision prediction #Smart recycling equipment #waste disposal point recognition #sorting lines #community waste sorting guidance #recyclable material sorting
- 6783
- 0.3GB
- piece
- CATL
MOBIUSI INC
Updated:2026-11-04
AI Analysis & Value Prop
Designed for urban household waste recognition and sorting applications, this dataset includes waste images and associated metadata such as annotation file paths, category IDs, image dimensions, and image formats. Its multi-category content supports the development and evaluation of visual recognition models for waste classification and sorting decisions. It is suitable for smart waste-sorting equipment, automated recycling workflows, and related computer vision research.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | A unique identifier for the image record. |
| image_path | string | The path to the image file. |
| label_path | string | The path to the annotation file associated with the image. |
| category_id | array | The identifier for the image category. |
| image_width | number | The image width in pixels. |
| image_format | string | The image file format. |
| image_height | number | The image height in pixels. |
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 does the dataset contain?
- Records include images and fields such as a unique image identifier, image path, annotation file path, category ID, image width, image height, and image format. These fields help link images with their categories and annotation files.
- How many samples and categories are included?
- The available information does not specify the total sample count or the number of categories. Refer to the product listing or delivery manifest for confirmed statistics.
- Which model tasks are supported by the annotations?
- The data can support household waste image classification and category recognition. If the annotation files include object locations, they may also support tasks such as object detection. Check the annotation structure and label definitions before training.
- How can I obtain the data, and what usage rights apply?
- Check the product page for the available access and delivery method, and review the applicable license terms. Commercial use, redistribution, and republication are subject to the actual license agreement.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Urban Household Waste Multiclass Visual Recognition and Intelligent Sorting Annotated Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/a7330669a3658a56e9b11471abcbff7c},
urldate={2026-11-04},
keywords={household waste dataset, waste classification images, waste recognition data, smart sorting dataset, waste vision recognition, urban waste sorting, annotated waste images, AI waste classification},
version={1.0}
}Using this in research? Please cite us.
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