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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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GluonCV SSD Object Detector

Latest Version:
1.1
Single Shot MultiBox Detector (SSD) is a powerful network for fast and accurate object detection, powered by GluonCV.

    Product Overview

    Given an input image, this model will return object coordinates and category predictions. The format of coordinates is encoded as (left, top, right, bottom) of the absolute pixel locations. This model is trained on COCO dataset with 80 common object categories. It can be used as fast and reliable general object detector. This algorithm is also available on Sagemaker (https://docs.aws.amazon.com/sagemaker/latest/dg/object-detection.html ) if you want to train a model using your own datasets.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • This model can detect multiple objects on the input image.

    • The results include category names, confidence scores, and absolute locations on the input image.

    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.


    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

    Model Realtime Inference$0.00/hr

    running on ml.m4.xlarge

    Model Batch Transform$0.00/hr

    running on ml.m4.xlarge

    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 Realtime Inference$0.24/host/hr

    running on ml.m4.xlarge

    SageMaker Batch Transform$0.24/host/hr

    running on ml.m4.xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint 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
    Realtime Inference/hr
    ml.m4.4xlarge
    $0.00
    ml.m5.4xlarge
    $0.00
    ml.m5.12xlarge
    $0.00
    ml.m4.16xlarge
    $0.00
    ml.m5.2xlarge
    $0.00
    ml.c4.4xlarge
    $0.00
    ml.m5.xlarge
    $0.00
    ml.c5.9xlarge
    $0.00
    ml.m4.xlarge
    Vendor Recommended
    $0.00
    ml.c5.4xlarge
    $0.00
    ml.m4.2xlarge
    $0.00
    ml.c5.2xlarge
    $0.00
    ml.m5.large
    $0.00
    ml.c4.2xlarge
    $0.00
    ml.c4.8xlarge
    $0.00
    ml.m4.10xlarge
    $0.00
    ml.c4.xlarge
    $0.00
    ml.m5.24xlarge
    $0.00
    ml.c5.18xlarge
    $0.00
    ml.c5.xlarge
    $0.00

    Usage Information

    Fulfillment Methods

    Amazon SageMaker

    Usage Instructions: Supported content types are image/jpeg, image/png and image/bmp.

    AWS APIs can be used to invoke the model after endpoint creation, e.g., using aws-cli:

    aws sagemaker-runtime invoke-endpoint --endpoint-name your_endpoint_name --body fileb://img.jpg --content-type image/jpeg --custom-attributes '{"threshold": 0.2}' --accept json >(cat) 1>/dev/null

    The confidence score threshold can be configured in range (0, 1).

    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

    GluonCV SSD Object Detector

    Model supported is available from GluonCV. Search for questions and open new issues to ask questions.

    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.

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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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