Sold by: NavInfo Europe B.V.Â
Overview
The NavInfo Europe Generic Segmentation Model is a pre-trained semantic segmentation model trained on 7 classes suitable for autonomous driving, mapping and road asset management use-cases.
Highlights
- NavInfo Europe Generic Semantic Segmentation Model is an optimised model trained on 20.000 Mapillary Vistas dense pixel level annotated images. https://www.navinfo.eu/insights/rgpnet-a-real-time-general-purpose-semantic-segmentation/
- The models and the training data can be used commercially.
- The model supports 7 classes: 1. background 2. lane_boundary_solid 3. lane_boundary_dash 4. poles including reflector-posts 5. traffic_signs including variable-speed-signs 6. curb 7. traffic_barrier
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor.
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.p2.xlarge Inference (Batch) Recommended | Model inference on the ml.p2.xlarge instance type, batch mode | $1.00 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $1.00 |
ml.p3.8xlarge Inference (Batch) | Model inference on the ml.p3.8xlarge instance type, batch mode | $1.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $1.00 |
ml.p2.8xlarge Inference (Batch) | Model inference on the ml.p2.8xlarge instance type, batch mode | $1.00 |
ml.p2.16xlarge Inference (Batch) | Model inference on the ml.p2.16xlarge instance type, batch mode | $1.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $1.00 |
ml.p3.8xlarge Inference (Real-Time) | Model inference on the ml.p3.8xlarge instance type, real-time mode | $1.00 |
ml.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $1.00 |
ml.g4dn.4xlarge Inference (Real-Time) | Model inference on the ml.g4dn.4xlarge instance type, real-time mode | $1.00 |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to this service at any time.
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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
This solution is based on the RGPnet , which have been improved by Navinfo Europe B.V. The model supports 7 classes:
- background
- lane_boundary_solid
- lane_boundary_dash
- poles including reflector-posts
- traffic_signs including variable-speed-signs
- curb
- traffic_barrier
Additional details
Inputs
- Summary
The images must be in jpeg, png or tiff format. Each image should not exceed 5 MB.
- Input MIME type
- image/jpeg, image/png, image/tiff
https://github.com/navinfoeurope/segmentation/tree/main/data/input/new
https://github.com/navinfoeurope/segmentation/tree/main/data/input/new
Resources
Vendor resources
Support
Vendor support
Navinfo Europe provides support upon request by the customer. Please contact our support engineers or sales representatives using the following e-mail address: awssupport@navinfo.euÂ
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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