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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Image Recognition with PyTorch Resnet

By: Rearc Latest Version: 1

Product Overview

This product is an Image Recognition and Classification model from PyTorch Hub. It takes an image as input and classifies the image into one of the multiple labels. How was the model trained? The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The ImageNet project is a large visual database designed for use in visual object recognition software research. Do you want to create an Image Classification Web or Mobile app? Look no further and subscribe to this model to get started! Please don't hesitate in reaching out to us by clicking: "Contact Seller" above. We are excited to get to know your use-cases and help you out by providing training data, model customizations, and more!

Key Data

Version
By Rearc
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

Image Recognition with PyTorch Resnet

Please feel free to reach out to us at: data@rearc.io (or by clicking "Contact Seller")

https://www.rearc.io/data/

AWS Infrastructure

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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