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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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Facial Recognition Algorithm for Video Free trial

By:
Sensifai
Latest Version:
v1
Face Recognition/Identification in Videos
Continue to Subscribe

    Product Overview

    Sensifai offers automatic face recognition and identification. For example, our basic software recognizes thousands of celebrities in videos. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of people or celebrities and tag them in videos by providing the required training dataset.

    Key Data

    Version
    v1
    Usage Instructions
    Release Notes
    By
    Sensifai
    Categories
    Human/Faces
    Classification-Video
    Computer Vision
    Type
    Algorithm
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Powered by Sensifai's AI and face recognition technology, we have designed an easy-to-use interface which automates the process of training a super accurate face recognition/identification system in videos.

    • You can use Sensifai's interface through Sagemaker to develop a face recognition system that covers your set of people for your own specific usecase. Provide a training dataset and create your own face recognition in videos system immediately.

    • If you do not have dataset for training or looking for pre-trained models for face or celebrities recognition or other domains of video/image analysis, you can check our ready to use API or contact us directly (sales@sensifai.com).

    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$5/hr

    running on ml.p3.2xlarge

    Model Realtime Inference$4.00/hr

    running on ml.p3.2xlarge

    Model Batch Transform$4.00/hr

    running on ml.p3.2xlarge

    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$3.825/host/hr

    running on ml.p3.2xlarge

    SageMaker Realtime Inference$3.825/host/hr

    running on ml.p3.2xlarge

    SageMaker Batch Transform$3.825/host/hr

    running on ml.p3.2xlarge

    About Free trial

    Try this product for 2 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    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.p2.xlarge
    $5.00
    ml.p3.2xlarge
    Vendor Recommended
    $5.00

    Usage Information

    Fulfillment Methods

    Amazon SageMaker

    See example notebook for example usage.

    Channel specification

    Fields marked with * are required

    train

    *
    Input modes: File
    Content types: image/*
    Compression types: None

    Hyperparameters

    Fields marked with * are required

    max_nrof_epochs

    *
    Number of epochs to run.
    Type: Integer
    Tunable: No

    batch_size

    *
    Determine batch size automatically or not. 0 means determine it automatically, other values mean determine it by user.
    Type: Integer
    Tunable: No

    image_size

    *
    Image size (height, width) in pixels.
    Type: Integer
    Tunable: No

    evaluate_every_n_steps

    *
    Number of batches per epoch.
    Type: Integer
    Tunable: No

    embedding_size

    *
    Dimensionality of the embedding.
    Type: Integer
    Tunable: No

    keep_probability

    *
    Keep probability of dropout for the fully connected layer(s).
    Type: Continuous
    Tunable: No

    weight_decay

    *
    L2 weight regularization.
    Type: Continuous
    Tunable: No

    optimizer

    *
    The optimization algorithm to use.
    Type: Categorical
    Tunable: No

    learning_rate

    *
    Initial learning rate.
    Type: Continuous
    Tunable: No

    moving_average_decay

    *
    Exponential decay for tracking of training parameters.
    Type: Continuous
    Tunable: No

    nrof_preprocess_threads

    *
    Determine number of preprocessing(data loading and augmentation) threads automatically or not. 0 means determine it automatically, other values mean determine it by user.
    Type: Integer
    Tunable: No

    filter_percentile

    *
    Keep only the percentile images closed to its class center.
    Type: Continuous
    Tunable: No

    filter_min_nrof_images_per_class

    *
    Keep only the classes with this number of examples or more.
    Type: Integer
    Tunable: No

    learning_rate_decay_factor

    *
    Learning rate decay factor.
    Type: Continuous
    Tunable: No

    Additional Resources

    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

    Facial Recognition Algorithm for Video

    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

    You may cancel your subscription at any time; However, we will not refund payments made by you under the agreement for any reason whatsoever.

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