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This is an Image Classification model from PyTorch Hub. It takes an image as input and classifies the image to one of the 1000 classes.
Overview
This is an Image Classification model from PyTorch Hub . It takes an image as input and classifies the image to one of the 1000 classes. The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS) which comprises images of 1000 different classes. A list of all the class labels can be accessed at ImageNetLabels . PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.
Highlights
- This is an Image Classification model from PyTorch Hub: https://pytorch.org/hub/pytorch_vision_googlenet/.
Details
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Latest version
Deployed on AWS
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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.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large 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.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 |
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.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $0.00 |
ml.c5.2xlarge Inference (Real-Time) | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.00 |
ml.p3.2xlarge Inference (Real-Time) | Model inference on the ml.p3.2xlarge instance type, real-time 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.
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Version release notes
This CPU version supports models to run on some CPU instance types.
Additional details
Inputs
- Summary
The input is an image.
- Input MIME type
- application/x-image
https://jumpstart-cache-prod-us-west-2.s3-us-west-2.amazonaws.com/pytorch-metadata/assets/cat.jpg
https://jumpstart-cache-prod-us-west-2.s3-us-west-2.amazonaws.com/pytorch-metadata/assets/cat.jpg
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This is a Image Classification model from PyTorch Hub
Customer reviews
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1 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Nidhi C.
Googlenet achieves efficiency within the network
Reviewed on Jan 02, 2022
Review provided by G2
What do you like best about the product?
It's a neural network that is 22 layers deep.
What do you dislike about the product?
Nothing as of now. As I work more on to it will have better exposure to tools.
What problems is the product solving and how is that benefiting you?
Right now doing self research and some self based online projects and trainings. Based in neural technologies