Marine Litter Detector and Reporter

Turn coastal images into actionable marine litter information with AI. Upload one or more images and receive a structured detection report.

Upload Image(s)

How Works

1.
Upload
Upload one or more images of coastal areas.
2.
Detect
AI model detects and localizes visible litter items.
3.
Classify
Items are classified based on our marine litter taxonomy.
4.
Report
Get a summary and download your detailed report.

Summary

Click on any Completed Image on the Sidebar for Detailed View

In case of failed images, you can click on them to retry running them

Upload Summary

Total Images: -

Completed Images: -

Failed Images: -

Currently Processing: -

Total Litter Objects Detected: -

Litter Objects Detected per Image: -

Average Confidence Threshold: -

Average Detection Confidence: -

Objects per Material (Level 1)

No detected materials yet.

Objects per Use / Function (Level 2)

No detected use/function categories yet.

Specific Litter Types (Level 3)

Specific Type	Material	Use / Function	Count

No specific litter types detected yet.

Loading result...

Total Objects Detected: -

Confidence Threshold: -

Average Confidence: -

Objects per Material (Level 1)

No detected materials yet.

Objects per Use / Function (Level 2)

No detected use/function categories yet.

Specific Litter Types (Level 3)

Specific Type	Material	Use / Function	Count

No specific litter types detected yet.

How Works

LaskAI turns coastal images into reliable marine litter information through a simple 4-step process powered by advanced AI

Upload

Upload one or more images of coastal environments.

Example coastal image containing marine litter

Supported formats: JPG, PNG
Multiple images at once

Detect

The AI model detects and localizes visible litter objects in the images.

State-of-the-art object detection model
High accuracy localization
Works in diverse conditions

Classify

Detected items are classified using our marine litter taxonomy.

Plastic Bottles & ContainersConfidence: 0.92
Plastic FragmentsConfidence: 0.86
Plastic BagsConfidence: 0.91
Rope & Net PiecesConfidence: 0.87

Hierarchical classification:
Material → Use/Function → Item Type
59 specific litter categories
Consistent and comparable results

Report

Get a summary of the findings and download your detailed report.

Summary

Total Items Detected128 Unique Categories23 Most Common MaterialPlastic Average Confidence0.88

By Material

Plastic 78%
Foamed Plastic 12%
Glass 5%
Metal 3%
Other 2%

Marine Litter Taxonomy

LaskAI uses a structured, hierarchical taxonomy to ensure accuracy and consistency.

Level 1: Material
Level 2: Use / Function
Level 3: Specific Item Type

LaskAI_Classification.xlsx

Examples Across the Taxonomy

Material (Level 1) Use / Function (Level 2) Specific Item Type (Level 3) Example

PLASTICfood consumption relatedAny plastic DRINK bottles and containers

PLASTICundefined usePlastic Fragments

PLASTICundefined usePlastic bags (NON-fc)

PLASTICfishing relatedPlastic Fishing Nets

… and more across all 7 materials, 13 use/function groups, and 59 item types.

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About LaskAI

LaskAI: Marine Litter Detector and Reporter is an AI-powered web application designed to support the detection, classification, and reporting of marine litter from images.

Users can upload images of coastal environments, and LaskAI automatically analyses them to identify visible litter items, classify them according to a structured marine litter taxonomy, and generate an easy-to-understand report of the detected items.

At the core of LaskAI is a dedicated machine-learning model developed specifically for marine litter recognition. The classification framework follows a hierarchical approach based on material, use/function, and specific litter type, enabling consistent and detailed reporting across different coastal environments. LaskAI_Classification.xlsx

LaskAI was funded by the A.C. Laskaridis Charitable Foundation and developed by Scidrones, with the aim of making advanced artificial intelligence tools for marine litter monitoring more accessible and easier to use.

By transforming ordinary images into structured information, LaskAI provides a simple bridge between citizen observations, artificial intelligence, and marine litter monitoring, supporting a better understanding of the presence and composition of litter in our coastal environments.