River Debris Detection Image Dataset
#image classification #object detection #environmental monitoring #river monitoring #environmental detection #waste classification #remote sensing analysis
- Records
- 500 records
- Size
- 1.2G
- Format
- JPG
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The pollution problem in rivers around the world is becoming increasingly severe. Traditional manual monitoring methods are inefficient, and there is an urgent need for automated and intelligent solutions. Existing debris detection methods usually rely on manual observation, which is time-consuming and prone to errors. This dataset aims to improve detection accuracy and efficiency through machine learning. The dataset is collected by drones capturing high-altitude images of major polluted river sections under different weather conditions. It ensures data quality through strict multi-round annotation and multi-expert review. The annotation team is from the field of environmental science, consisting of approximately 20 people. Preprocessing includes steps such as image denoising and enhancement, with data stored in JPG format by classification.
Overview
Dataset Insights
Preview
Sample Examples
750b3dcf**.jpg|1080*1403|315.21 KB
8c10712d**.jpg|1080*1920|599.67 KB
a28c02b2**.jpg|1080*1390|261.54 KB
8a004abe**.jpg|1080*1407|298.32 KB
cc7b621d**.jpg|838*1758|322.30 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| water_body_type | string | The type of water body depicted in the image, such as a river, lake, etc. |
| floating_objects_count | int | The number of floating objects visible in the river in the image. |
| object_type | string | The type of floating objects in the image, such as plastic, vegetation, etc. |
| weather_conditions | string | The weather conditions when the image was taken, such as sunny, cloudy, rainy, etc. |
| time_of_day | string | The time of day when the image was taken, such as morning, afternoon, evening, etc. |
| water_clarity | string | The clarity of the water in the image, such as clear, murky, etc. |
| image_orientation | string | The orientation of the image, such as landscape or portrait. |
| presence_of_human_activity | boolean | Indicates if there are any signs of human activity in the image. |
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 River Debris Detection Image Dataset?
- The River Debris Detection Image Dataset is a collection of images specifically used to identify and analyze floating garbage in rivers, aiding environmental researchers in monitoring and controlling pollution.
- What are the uses of the River Debris Detection Image Dataset?
- This dataset can be used to train machine learning models to automatically detect and classify debris in rivers, supporting automation in environmental protection and cleanup efforts.
- What are the advantages of using the River Debris Detection Image Dataset?
- Using this dataset can enhance the accuracy and efficiency of river debris detection systems, reduce the workload of manual detection, and improve the timeliness of environmental monitoring.
- How does the River Debris Detection Image Dataset support environmental meteorology research?
- The dataset provides a wealth of images of river debris in real environments, aiding researchers in data analysis, understanding the distribution and trends of debris, and gaining deeper insights into environmental meteorology.
- Who would use the River Debris Detection Image Dataset?
- Environmental scientists, policymakers, environmental organizations, and machine learning engineers might be interested in this dataset for research, analysis, and developing detection systems.
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Cite this Work
@dataset{Mobiusi2026,
title={River Debris Detection Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/706f54708799cb44daae6649100a8140?dataset_task_cate_id=7},
urldate={2026-02-04},
keywords={river debris detection, environmental monitoring dataset, image classification data},
version={1.0}
}Using this in research? Please cite us.
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