River Debris Detection Image Dataset

#image classification #object detection #environmental monitoring #river monitoring #environmental detection #waste classification #remote sensing analysis
  • 500 records
  • 1.2G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

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.

Dataset Insights

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

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
water_body_typestringThe type of water body depicted in the image, such as a river, lake, etc.
floating_objects_countintThe number of floating objects visible in the river in the image.
object_typestringThe type of floating objects in the image, such as plastic, vegetation, etc.
weather_conditionsstringThe weather conditions when the image was taken, such as sunny, cloudy, rainy, etc.
time_of_daystringThe time of day when the image was taken, such as morning, afternoon, evening, etc.
water_claritystringThe clarity of the water in the image, such as clear, murky, etc.
image_orientationstringThe orientation of the image, such as landscape or portrait.
presence_of_human_activitybooleanIndicates if there are any signs of human activity in the image.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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 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_scene_id=11},
  urldate={2026-02-04},
  keywords={river debris detection, environmental monitoring dataset, image classification data},
  version={1.0}
}

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