Sold by: CopernicAIÂ
Overview
This model provides image classification for 360° images, using an Inception neural network adapted from:
Christian Szegedy et al "Going deeper with convolutions", 2014 (<https://arxiv.org/abs/1409.4842>).It takes a 360 image as input and classifies the image to one of a 1000 classes (https://gitlab.com/kagenova/copernicai/aws-marketplace-tutorial/-/blob/main/inception360/labels.txt ). The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS).
Highlights
- This is an Image Classification model for 360 images based on an Inception neural network architecture.
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.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $0.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $0.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $0.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $0.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $0.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge 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
Inception-based image classifier for 360 images
Additional details
Inputs
- Summary
The input consists of an image in any format that PILÂ can read (jpg, png, etc). In order to save bandwitdth, the user may want to resize the images to a width of 1024 and a height of 512. In any case, the model will resize images to 1024x512 as a pre-processing step.
- Limitations for input type
- The maximum image size is limited by AWS hard limits on the request's body size. The model will resize images to 1024x512 as a pre-processing step. A 2:1 ratio is enforced during resizing.
- Input MIME type
- application/x-image, application/json
https://gitlab.com/kagenova/copernicai/aws-marketplace-tutorial/-/tree/main/assets/bedroom.jpg
https://gitlab.com/kagenova/copernicai/aws-marketplace-tutorial/-/tree/main/assets
Resources
Vendor resources
Support
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