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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

NEPTUNE - Maritime Ship Detector
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Product Overview

Detect and localize a variety of maritime objects from a variety of ship-mounted angles. Trained with proprietary CVEDIA synthetic technology, NEPTUNE includes tankers and cargo ships, as well as sail, fishing, motor, and emergency boats. The CVEDIA NEPTUNE Maritime Detector also detects buoys and debris as seperate events, as well as ensuring airplanes are classified as false alarms. Use in an automation process, for docking, or as a part of a situational awareness system. This model was trained in cloudy and foggy conditions, as well as rough Douglas Sea State conditions from 0-7.

Key Data

Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

NEPTUNE - Maritime Ship Detector

Contact Mijail at for bug fixes, improvements, or project-specific customizations including additional classes, classification, and tracking.

AWS Infrastructure

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Refund Policy

You are free to cancel services at any point in time. CVEDIA does not offer refunds. Feel free to contact us for any questions at

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