Sold by: MphasisÂ
Deployed on AWS
Analyse the layout of a document page's contents and segment logical blocks into categories like paragraphs, tables, images, headers etc.
Overview
Analysing a document requires understanding the structure of the contents on its pages. Documents have sections, headers, captions, images, tables and footers. Each of these can provide valuable metadata when trying to extract information. For example: i) Searching for and identifying images can be done via looking for image captions OR ii) Retrieving an entire section might be more informative than retrieving a sentence/passage. This solution is intended to segment and classify the contents on a page. A state of the art image transformer model is trained to consume each page of a document and output regions of a page with bounding box coordinates and corresponding segment label.
Highlights
- The solution can be leveraged as part of intelligent document processing pipeline. The module acts an an AI enrichment layer in the document processsing workflow.
- Reference use cases to employ this solution: - Parsing contract documents to identify document sections and tables. This helps search and retrive within the specified sections and tables. - Parsing annual reports for statements and commentary. - Parsing statement of work to index and use as a knowledge base.
- Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need customized Machine Learning and Deep Learning solutions? Get in touch!
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
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.
Dimension | Description | Cost |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $10.00/host/hour |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $10.00/host/hour |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $10.00/host/hour |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $10.00/host/hour |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $10.00/host/hour |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $10.00/host/hour |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $10.00/host/hour |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $10.00/host/hour |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $10.00/host/hour |
ml.c4.2xlarge Inference (Batch) | Model inference on the ml.c4.2xlarge instance type, batch mode | $10.00/host/hour |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a 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:
Version release notes
Initial version
Additional details
Inputs
- Summary
A single zip file needs to be sent as input which should contain the document page image(s) in .jpg or .png format which you wish to run the segmentation model on. Output naming will be performed based on the names of the images passed as input. For an example, refer to the sample Input.zip.
- Input MIME type
- image/jpeg, image/png, application/zip
https://mphasis-marketplace.s3.us-east-2.amazonaws.com/docseg-v2/test_input.zip
https://mphasis-marketplace.s3.us-east-2.amazonaws.com/docseg-v2/test_input.zip
Resources
Vendor resources
Support
Vendor support
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