Sold by: CopernicAIÂ
Overview
This model provides scene classification for 360 degree images.
It takes a 360 image as input and classifies the image to one of a 365 classes (https://gitlab.com/kagenova/copernicai/aws-marketplace-tutorial/-/blob/main/scene360/labels.txt ).
Highlights
- This is a Scene classification model for 360 images.
Details
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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.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
ml.t2.medium Inference (Real-Time) Recommended | Model inference on the ml.t2.medium instance type, real-time mode | $0.00 |
ml.p2.xlarge Inference (Batch) | Model inference on the ml.p2.xlarge instance type, batch mode | $0.00 |
ml.c4.2xlarge Inference (Batch) | Model inference on the ml.c4.2xlarge instance type, batch mode | $0.00 |
ml.c4.8xlarge Inference (Batch) | Model inference on the ml.c4.8xlarge instance type, batch mode | $0.00 |
ml.c4.xlarge Inference (Batch) | Model inference on the ml.c4.xlarge instance type, batch mode | $0.00 |
ml.c5.xlarge Inference (Batch) | Model inference on the ml.c5.xlarge instance type, batch mode | $0.00 |
ml.m5.xlarge Inference (Batch) | Model inference on the ml.m5.xlarge instance type, batch mode | $0.00 |
ml.m4.xlarge Inference (Batch) | Model inference on the ml.m4.xlarge instance type, batch mode | $0.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $0.00 |
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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
CopernicAI's Scene360 classifies 360 images among the Scene365 categories. These categories describe whole scenes, as opposed to objects within a scene.
Additional details
Inputs
- Summary
The input should be the binary data for jpeg image.
- Limitations for input type
- Images are best provided with a size of 1024 by 512 pixels. Images are resized before being submitted to the model.
- Input MIME type
- application/x-image
https://gitlab.com/kagenova/copernicai/aws-marketplace-tutorial/-/blob/main/assets/bedroom.jpg
https://gitlab.com/kagenova/copernicai/aws-marketplace-tutorial/-/tree/main/assets
Resources
Vendor resources
Support
AWS infrastructure support
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