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Amazon Sagemaker

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.

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Image Classifier with auto Deep Learning

Latest Version:
2.0
This solution automatically identifies and trains the best performing deep learning model for image classification.

    Product Overview

    This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for image classification. This will reduce the time and effort for the model building task for a data scientist. This solution automates several of deep learning tasks in data science.

    Key Data

    Type
    Algorithm
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • This solution will help identify the best deep learning model architecture for the image classification data set and help improve the turn-around time for any image processing development as well as save time of a data scientist.

    • This solution can be used to solve image classification problems in various domains like banking , insurance , retail , legal and ecommerce.

    • Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need Customized Deep learning and Machine Learning Solutions? Get in Touch!

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Algorithm Training$10/hr

    running on ml.m5.2xlarge

    Model Realtime Inference$10.00/hr

    running on ml.m5.xlarge

    Model Batch Transform$20.00/hr

    running on ml.m5.large

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Algorithm Training$0.461/host/hr

    running on ml.m5.2xlarge

    SageMaker Realtime Inference$0.23/host/hr

    running on ml.m5.xlarge

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    Algorithm Training

    For algorithm training in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Algorithm/hr
    ml.m4.4xlarge
    $10.00
    ml.m5.4xlarge
    $10.00
    ml.m4.16xlarge
    $10.00
    ml.m5.2xlarge
    Vendor Recommended
    $10.00
    ml.p3.16xlarge
    $10.00
    ml.m4.2xlarge
    $10.00
    ml.c5.2xlarge
    $10.00
    ml.p3.2xlarge
    $10.00
    ml.c4.2xlarge
    $10.00
    ml.m4.10xlarge
    $10.00
    ml.c4.xlarge
    $10.00
    ml.m5.24xlarge
    $10.00
    ml.c5.xlarge
    $10.00
    ml.p2.xlarge
    $10.00
    ml.m5.12xlarge
    $10.00
    ml.p2.16xlarge
    $10.00
    ml.c4.4xlarge
    $10.00
    ml.m5.xlarge
    $10.00
    ml.c5.9xlarge
    $10.00
    ml.m4.xlarge
    $10.00
    ml.c5.4xlarge
    $10.00
    ml.p3.8xlarge
    $10.00
    ml.m5.large
    $10.00
    ml.c4.8xlarge
    $10.00
    ml.p2.8xlarge
    $10.00
    ml.c5.18xlarge
    $10.00

    Usage Information

    Training

    The zip file should contain images. The folder structure should be as specified in the usage instructions. Please go through them for more information. The current accepted image types are: png, jpg

    Channel specification

    Fields marked with * are required

    training

    *
    Input modes: File
    Content types: text/csv, application/zip
    Compression types: None, Gzip

    Model input and output details

    Input

    Summary

    This algorithm takes a zip file as an input. This zip file to be uploaded for training the model should follow the following file structure Sample.zip |----class 1 |----|----img1.png |----class 2 |----|----img1.png |----… |----class n |----|----img1.png |----dict.json

    Input MIME type
    text/csv, text/plain, application/zip
    Sample input data

    Output

    Summary

    • In training mode, the output will be the trained model • In test/evaluation mode, the output will be the test accuracy

    Output MIME type
    text/csv, text/plain, application/zip
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Image Classifier with auto Deep Learning

    For any assistance reach out to us at:

    AWS Infrastructure

    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.

    Learn More

    Refund Policy

    Currently we do not support refunds, but you can cancel your subscription to the service at any time.

    Customer Reviews

    Pawan R.
    Automated Image Classifier using DL make image classification much easier.
    Oct 12, 2023
    What do you like best about the product?When evaluating the advantages of using deep learning for
    image classifiers, important points such as ease of use and cost-effectiveness need to be taken into
    account. Additionally, on the professional side, Auto DL helps improve data transparency ... Read more
    ... Read more
    View all