Listing Thumbnail

    Spline Video Labeling

     Info
    Jupyter Notebook for Data Preparation and Spline Video Labeling

    Overview

    The great Jupyter notebook that allows data preparation by splitting input Videos into Frames. Helps you prepare input Manifest and also prepares Video Template for SageMaker GroundTruth workflow

    Highlights

    • Easy to install
    • Video Labeling
    • Machine Learning

    Details

    Delivery method

    Delivery option
    Product Deployment

    Latest version

    Operating system
    Ubuntu 18.04.2 LTS

    Pricing

    Spline Video Labeling

     Info
    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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (6)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t3.medium
    $10.00
    $0.042
    $10.042
    t3.large
    $10.00
    $0.083
    $10.083
    t3.xlarge
    $10.00
    $0.166
    $10.166
    t3.2xlarge
    $10.00
    $0.333
    $10.333
    m4.large
    $10.00
    $0.10
    $10.10
    m4.xlarge
    $10.00
    $0.20
    $10.20

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Product Deployment

    For the CloudFormation launch, you must provide an S3 bucket that does not have "Block all public access" enabled, otherwise you will be unable to run the Jupyter notebook successfully.

    https://objectways-marketplace-resources.s3.amazonaws.com/spline/Getting_Started.html 

    CloudFormation Template (CFT)

    AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."

    Version release notes

    First Release

    Additional details

    Usage instructions

    For the CloudFormation launch, you must provide an S3 bucket that does not have "Block all public access" enabled, otherwise you will be unable to run the Jupyter notebook successfully.

    Access the application via a browser at https://<public_dns>:8888/. To connect to the operating system, use SSH and the username ubuntu. All application controls are available via the command line by typing "commands /help".

    Resources

    Vendor resources

    Support

    Vendor support

    • We do not currently offer support

    AWS infrastructure support

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to write a review for this product.