Sold by: SoftServe
Deployed on AWS
Automatic corrosion detection on an image using deep learning ML models.
Overview
What we do:
• Propose a corrosion detection ML model to expedite inspection procedures
• Train the algorithm to recognize and improve corrosion detection using post-processing photos
• Split the annotated dataset into training, validation, and test data for optimal implementation
• Utilize the advanced U-Net++ architecture and MobileNetV2 encoder for model training
• Increase robustness by applying various data augmentation techniques
What you get
• A simple ML-model app that seamlessly integrates with your AWS environment, speeding up inspection time • Automated assessment of corrosion, thus increasing safety and operational efficiency • Continuous model improvement through retraining with your own data • Proven results with high validation (Dice - 0.814, IoU - 0.704) and test (Dice - 0.838, IoU - 0.734) scores • A wide range of image-handling capabilities, including cropping, blurring, noise addition, distortion, and much more
Highlights
- Use machine learning to make it easier to identify and address corrosion in your business environment. Equipped with our advanced corrosion detection ML model, you can optimize the inspection process by automating time-consuming manual procedures, minimizing potential hazards and significantly reducing operational costs. Train the model with your own data, increasing its accuracy and utility over time.
Details
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Delivery method
Latest version
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.c5.xlarge Inference (Batch) Recommended | Model inference on the ml.c5.xlarge instance type, batch mode | $0.00 |
ml.c5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.c5.xlarge instance type, real-time mode | $0.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $0.00 |
ml.c5.4xlarge Inference (Batch) | Model inference on the ml.c5.4xlarge instance type, batch mode | $0.00 |
ml.c5.2xlarge Inference (Real-Time) | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.00 |
ml.c5.4xlarge Inference (Real-Time) | Model inference on the ml.c5.4xlarge instance type, real-time mode | $0.00 |
Vendor refund policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Initial release
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Support
Vendor support
In case of any questions please contact EOGdemo@softserveinc.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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