• Enterprise Tier: new API to allow download of model artifacts like source code and weights.

• Enhanced version of the Video Frame Segmentation application

• Enhanced metrics on dataset after training.

• Image Redact: Fixed ALPR model behaviour

• Image Redact: Added additional AI mode AI for face detection.

• Added endpoint for job versions diff. This endpoint returns markdown formatted diff between 2 job version responses.

• Fixes mime type misidentification bug reported last week.
• Allows for uppercase names in file suffix (e.g. .PDF or .Pdf).

• Added Document Intelligence model as a proxy service with AI task creation.

• Added job review audit endpoint

• Several minor bug fixes and enhancements

• Added big payload endpoints so they can be used in public SDK

• Document support: Fixed a bug that led to inconsistencies on multi-page documents.

• Invoice Processing: Improved date parsing from natural language expressions.

• Document Redact: Fixed a bug that led to an entity is getting split into multiple entities of the same type complicating edit output and user experience.

• Image Redact: Improved scalding for license plate models.

• Fixed a bug to prevent image name conflicts by adding more uniqueness.

• Fixed rare issue when silently failing predictions would not cancel the AI task

• Fixed a bug that led to not handling expired URLs in AI task output

• Enhanced blurring effect for redaction in images

• Image Instance Segmentation: Added support for image context with multiple images (Image Carousel)

• Fixed a bug to allow correct passthrough of internal URI in AI output.

• Minor bug fixes for Document.Redact

• Enhanced shortcuts menu for document processing

• Added sub annotations for displaying extracted document text and OCR image text.

• Option to show filename on annotation view

• Edit output waits until post-process operation is completed in the background

• Fixed a bug that led to errors in copying model weights from training runs.
• Fixed a bug that didn't allow collaborators to correctly see all public models.

• Add new AI configuration option for project owners to always use the latest AI version.
• Creating Dataset from signed URLs with auto-refresh
• Support multiple files in prediction instance output of AI models.

• Enhanced statistics

• Fixed bug that led to inconsistencies when switching between job versions

• Added endpoints to retry or archive failed operations

• Processing interface: show filename on annotation view

• Image Instance Segmentation: Ai assisted labelling tool is now using state of the art RITM model for improved accuracy.

• Automatically create new model version and deployment after training finishes.

• Various improvements and bug fixes

• Enhanced download for task data

• Enhanced task confidence for AI tasks

• Super.Car: Improved edge smoothening of vehicle masks.

• Object Image Segmentation: introduced support for manual post-processing (HITL)
• Object Image Segmentation: added option for defining a background image as an replacement for redacted image background

• Object Image Segmentation: Updated AI model to yield more accurate results

• Fixed a bug that in account creation while inviting members to an organization

• Enhanced training data loading

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• Speed up AI job completion time by improving model ramp up strategy.

• Allow custom timeouts per AI deployment to optimize failure handling.

• Enhanced status information about training runs
• Enhanced model scaling to zero settings

• Fixed a bug that led to not fetching training stats after training is created

• Document Processing: improved usability by updating the Job Detail View showing a connector between a selected bounding box to the specific key value pair

• Fixed a bug that prevented to Edit Content in Tutorials

• Image.Redact: Enhanced Edit Output support to Image.Redact

• Fixed a usability issue: Task status UI is now consistent with Job status UI

• Image polygon based projects: updated to enhanced schema

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• Fixed a bug that lead examples not selected as default in onboarding workflow

• Invoice Parser: Added support for table extraction. Key-value and table extraction can be toggled on/off in the settings.
• Task level review

• Added support for reviews on task level
• Added endpoint to retrieve task worker distribution by worker type

• Image HYPE: Adding new randomisation parameter, allowing for the pairs of images to be served randomly to HITL

• Fixed a bug that led to errors when downloading of jobs filtered by state

• Fixed a bug that led to showing an empty task page

• Invoice Parser: support for key value pairs and tables

• Enhanced training status presentation on AI model view  
• Image HYPE: Added a parameter allowing the user to select to how many different humans the task will be send to.

• Image HYPE: Run your Human eYe Perceptual Evaluation (HYPE) projects.

• Fixed a bug in model deployment that led to incorrect reference of the model queue

• Document Redact: Added fallback to sans-serif when font family cannot be determined

• Document Redact: Improved document redact rendering

• Fixed a bug that allowed case sensitive e-mail addresses for worker invitations
• Fixed a bug to catch job client exception when a scheduled job response is requested

• Document Redact: Improvements the user experience in the onboarding flow

• Multiple enhancements for creating trainings and around versioning support

• Document Redact: Enabled Edit Output support
• Document Redact: Migrated data program to the new schema.
  

• Fixed a bug that led to missing job "callbackUrl"

• Fixed a bug that led to changes in Task design were reset while editing
  

• Document support: PDF document edit output
• Document support: Allow editing/downloading redacted output.

• Enhanced support for app training datasets.

• Image Redact: Corrects bug which would undo redaction when polygons of the same kind overlapped.

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• Fixed a bug that impacted sort and filter functionality for apps in an organization
• Fixed a bug that led to totals of archived apps count in orgs app list
  
  
  

• Get metric list from DP server if defined

• Fixed a bug that led to entity classes not showing up in task design in NER apps
• Fixed a bug that prevented from subscribing to the newsletter

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• Default measurer configuration for new schema DPs
• Hide 'Who should process' settings for AI apps

• Improves handling of AI output values for different formats.
• Improved error handling when Sagemaker deployments are under heavy load.

• Corrected handling of timeout issues in AIs

• Store more meaningful exceptions for predictions which exceeded their retry limit
• Support to track performance of AIs on app data over time

• Improved error handling

• Fixed a bug in autoscaling

• New `errorMessage` field for predictions which failed to complete. Allows easier debugging for model owners and visibility for data issues.

• Enhanced support for prediction monitoring

• Performance improvement for job downloads

• Added support for creating a model lineage.

• Fixed a bug that led to inconsistencies in the project overview stats

• Several performance improvements for prediction serving

• OCR projects: Added an optional validation task for the polygon drawing task. The number of times the validation tasks is given to the HIL is managed by a new parameter called polygon validators.

• Added Kubernetes orchestrator
• Added an async Sagemaker orchestrator
• Multiple schema updates

• CLI and performance improvements

• Improved auto-scaling for model predictions

• Image Redact Projects: performance improvements

• Performance improvement for delivering predictions in applications with a lot of jobs.

• Fixed a bug in custom entity recognition

• Fixed a bug in the app settings that led to no predictions were served in pre-processing and active learning for existing jobs.

• Image projects: download output image in job detail view of Redaction projects

• Fixed a bug that led to deployment issues due to erroneous state handling

• Enhanced filtering for jobs
• Performance improvements to retrieve job feedback
• Performance improvements to retrieve job stats

• Fixed a bug that prevented to create from templates without application parameters

• Image polygon projects: allow rotation of annotation images.
  

• Enhanced worker qualification

• Fixed a bug in onboarding that led to the "Next" button doesn't appear after importing JSON with more than one row

• Allow onboarding without parameters
• Improved user experience in accepting/rejecting AI model suggestions in Image Segmentation tool
• Improved usability for editing job tags
• Updated language throughout the application for improved consistency

• Enhanced autoscaling support

• Fixes Marketplace project description missing in index

• Ability to sort Marketplace index results by score

• OCR projects update: Edit Output now correctly redirects to the polygon edit view

• Improved error tracing for custom resource deployments

• Corrected button label text for adding worker group to project

• Improved error highlighting in data processing UI

• Fixed a bug in access management for submitting jobs

• AI Task Predictions: Allows assigning AI models on Task level.

• Document Redact: Output PDF text is replaced with correct color and font size.

• OCR projects: description of the image polygon class is properly displayed now

• Adding configurable post-processing for OCR projects

• Enhanced job submission

• Added features to support AI deployment and scaling

• Added new workflow for OCR Data Program

• Fixed failure to subscribe to workflow due to user api key in local deployment.

• Backend Monitoring: Improved backend monitoring and orchestration to enhance availability
  

• Fixed a bug that sporadically led to an error condition when jobs where cancelled.

• OCR data classification and extraction data program now supports non-RGB images

• Fixed an issue that occasionally blocked model deployment when used for active learning
• Fixed an issue that led to an error when adding a model to an application.

• App metrics are now returned as a list

• Fixed a bug which lead to performance degradation in Data Programs with high number of active instances.

• Added proxy support for AWS Textract in projects via Meta AI
• Added proxy support for Google Cloud Platform APIs

• Changed condition to check if job has big payload. Now only the job response is checked.

• Fixed a bug in the rendering of satellite imagery