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    Facial Recognition Algorithm for Video

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    Sold by: Sensifai 
    Deployed on AWS
    Free Trial
    Face Recognition/Identification in Videos

    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.

    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).

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Pricing

    Free trial

    Try this product free for 2 days according to the free trial terms set by the vendor.

    Facial Recognition Algorithm for Video

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    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.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (6)

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    Dimension
    Description
    Cost/host/hour
    ml.p3.2xlarge Inference (Batch)
    Recommended
    Model inference on the ml.p3.2xlarge instance type, batch mode
    $4.00
    ml.p3.2xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.p3.2xlarge instance type, real-time mode
    $4.00
    ml.p3.2xlarge Training
    Recommended
    Algorithm training on the ml.p3.2xlarge instance type
    $5.00
    ml.p2.xlarge Inference (Batch)
    Model inference on the ml.p2.xlarge instance type, batch mode
    $4.00
    ml.p2.xlarge Inference (Real-Time)
    Model inference on the ml.p2.xlarge instance type, real-time mode
    $4.00
    ml.p2.xlarge Training
    Algorithm training on the ml.p2.xlarge instance type
    $5.00

    Vendor 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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    Usage information

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    Delivery details

    Amazon SageMaker algorithm

    An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Before deploying the model, train it with your data using the algorithm training process. You're billed for software and SageMaker infrastructure costs only during training. Duration depends on the algorithm, instance type, and training data size. When training completes, the model artifacts save to your Amazon S3 bucket. These artifacts load into the model when you deploy for real-time inference or batch processing. For more information, see Use an Algorithm to Run a Training Job  .
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Face recognition/identification in videos.

    Additional details

    Inputs

    Summary

    See example notebook for example usage.

    Input MIME type
    video/*
    See Input Summary
    See Input Summary

    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.

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