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1.12.5
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Changelogs
What we are working on right now ...
  • Polygon segmentation
  • Bulk operation via SDK
  • 3D Point Cloud
  • Property CAL
  • Long video support
And much more!

June 6th, 2022 (v1. 12. 10)

New Features

  • Filter project list by annotation type
  • User reports for Point cloud projects
  • New integration for Cloud Upload: Azure Blob Storage
    • It works very similar to AWS S3 and Google Cloud Storage
    ​
    ​
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  • Support Annotation type “Cuboid” in image/video projects as a separate type called “2D Cuboid”
  • Project Analytics: Label with High Labeling Times table shows outlier labels with high labeling times. User can select p99 (top 1% labels that took longest to label), p95 (top 5%) or p99.5 (top 0.5%).
    • This feature can be used to inspect labels with high labeling times

Improvement

  • Multi Factor Authentication
    • Show user's MFA status in user list
  • Add help links to Setup/Login page
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Bugfix

  • Fix raw data download for Pointcloud project

May 20th, 2022 (v1. 12. 9)

New Features

Custom Auto-Label - Archive
  • Users can remove no-longer-needed Custom Auto-Labels
SDK- bulk operations
  • Users can request [assign/unassign reviwers/worker, change status]
    • Assign Reviewer
    • Unassign Reviewer
    • Assign Worker
    • Unassign worker
    • Initiation / submit / skip labels

Improvement

  • Custom Auto-Label: improved onboarding tutorial
  • Automatic Redirect URLs (for support)
    • Customer Support or Product Tours can direct users to URLs such as https://suite.superb-ai.com/@account/project/@latest/overview which automatically gets redirected based on the currently logged in user.

April 25th, 2022 (v1.12.8)

New Features

Suite Analytics
  • New sync button: user can click sync icon to get the latest analytics data
  • Average labeling time per label

User Report

  • Added Time / label (s) to labeler table
    • Time / label (s) ⇒ average per label labeling time (in seconds)
  • Added new columns to reviewer table, including Review Assigned
    • Review assigned = total number of labels assigned to reviewer to review, including
      labels not submitted by the labeler
    • Pending Review = number of labels assigned to the reviewer and is pending review
    • Avg Review Round = average review round of all labels reviewed (approve, reject only) by the reviewer

Improvement

  • SDK: Support for auto label bulk operations
    • Request Auto Labeling
    • Get List of the Auto Labeling tasks
    • Get Auto Labeling task Info
  • Upload Flow
    • Changed upload flow to select data type first.
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  • Change image upload file size limit from 10MB to 20MB
  • Improved error messages for bulk operation results (fixes missing error information when assigning data to project)
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  • Speed up user report 100 times faster
    • User report is near real-time! 🎉🎉 Previously, report generation time scaled linearly with label count. Now, it takes < 10 sec on average, and < 1 min up to 500 ,000 labels.
    • For example, report generation is now 100x faster for 100, 000 labels!
    • Performance Comparison: (Old: previous user report; New: newly deployed version)
    ​
  • Improved shortcut UI in Annotation App

April 8th, 2022 (v1. 12.7)

Improvement

  • Don’t ask labelers to work on labels that are currently being processed by Auto-Label
    • Labelers cannot self-assign those labels by requesting more work.
    • Managers can still assign those labels, but they won’t show up for labelers after submitting another label.
    • When manually trying to edit such a label (by 1. clicking Edit on the label list or 2. switching to Edit mode in the annotation app), a warning is shown to labelers that their work may be overwritten.
  • Allow to search for asset keys in Command Menu (search in assets and project labels)
  • Annotation app (image sequence, video)
    • Even when frames have different image resolutions, frame views have a fixed size while navigating frames.
  • Added links to Custom Auto-Label page and Auto-Label settings page to guide users better.
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  • User report
    • Add meta data to downloaded report

Bugfix

  • Disable auto label or CAL menu for point clouds or video projects.
  • Show video sequence speed controller in data detail view
  • Allow email addresses with longer TLDs to signup
  • fix tags filter for SDK in get labels
  • casablanca image execution limit bug fix
  • casablanca video duplicated execution fix

March 25th, 2022 (v1.12.6)

New Features

Video - Sequence of images support own your storage on cloud upload.

Simplified Export -> Cal Workflow

  • Users can now request Export + Create Custom Auto-Label with one click, in two different ways:
    • A) Through an additional option in the Export dialog,
    • B) Through a new action in the dropdown menu.
  • Both actions do the exact same thing. We decided to add it to the existing Export dialog to make it easier to find for existing users.
​
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Auto-label advanced settings for video object tracking projects

Annotation App
  • Issue sort and filter (only Image Sequence)
    • Sort:
      • Sort by number
      • Sort by last update
    • Filter
      • Show issues from every frame
      • Shoe issues only from current frame
​
​

Improvements

  • Reflection of Pricing Changes
    • Creating a Custom Auto-Label now no longer requires use of Auto-Label credits
    • Video projects are now enabled for Team plans
  • Cloud Upload
    • Video - Sequence of images support mismatch image resolution in a video.
  • SDK/CLI
    • SDK/CLI support to upload 20MB image.
  • User Report
    • Renamed Review Results columns that show historical stats: Reviewed Percent → Review History (%), Rejected Percent ⇒ Rejection History (%)
    • History columns: display detailed label counts on hover

Bugfix

  • SDK/CLI
    • Fix randomly occurring 5xx error response.

March 11, 2022 (v1.12.5) - Near Real-Time Analytics, Faster Overview Chart, Bring Objects To Front/Send Objects Back

New Features

Bring to Front/Send to Back the Selected Object

  • Only available through shortcut keys in the Label Mode (labeled under the Shortcuts panel)
  • The selected object is brought to the front for easier editing while selected
Could not load image
  • Bring to front usage example
​

Improvements

Near Real-Time Project Analytics

  • The charts under the Project Analytics tab are now updated in near real-time.
    • The unpredictable update interval (ranging from a few hours to a day) has been reduced to within a minute.

Faster Labeling Status Chart

  • The update interval for the Labeling Status chart under the Projects Overview page has now been reduced to under 100ms.

Applying Custom Auto-Label

  • The previously applied Auto-Label AI is now displayed on the Apply Custom Auto-Label AI window so you can understand the change more easily.
  • You can now enable sorting.
  • You can now view the previously applied Custom Auto-Label information and know which Custom Auto-Label AI will be applied.
  • We’ve added navigation links to the Labels and Auto-Labels tab on the popup window when Custom Auto-Label is successfully applied to a project.

Improved Data Page

  • You can now filter data lists by data type under the Data page.
  • The dropdown list when assigning data to a project now displays projects by data type.
​

February 25, 2022 (v1.12.4)

Improvements

Improved Data Page

  • You can now apply more filters on the Data page.
  • You can navigate to the Data page by clicking the Data menu on the left navigation bar on the Suite. Note that the menu shows All Data by default, not the list of datasets. You can now additionally filter by project, uploader, or created date with a dropdown menu for each.
  • You can check the dataset list by clicking the top dropdown menu and changing the View to “Datasets.”

Improved Label Exports

  • You can click on a specific project on the Projects list and navigate to its Project page. We’ve improved the Project page’s Label Exports feature.
  • A card will be created once the label export is completed per export history. You can now toggle Applied Filters and apply the Apply Filters to Label List function by clicking the button.

Improved User Reports

  • To analyze a specific project, you can navigate to the Analytics tab by clicking the menu on the left sidebar. We’ve improved the User Reports feature of the Analytics tab.
  • When you click the topmost dropdown menu, you can now view both the applied filter status and filter properties (Filter by submitted/Filter by in progress) along with the requested date.
  • We’ve improved the Annotation Summary chart used for checking label status per labeler. You can now view rejected percent, reviewed percent, and avg review round on the Labeler Summary chart.
  • The table row names on the Annotation Summary chart are now shortened (omitted Count/Type). The chart displays only the labeler name, and you can check the email on the downloaded reports.

Annotation Improvements

  • When drawing annotations in the Label Mode, the annotation will now be applied up to the image boundary. For bounding boxes, the drawn box will contain only the area within the image boundary if you release dragging outside the boundary. For polygon segmentation, the annotation will be applied to the nearest image edge when clicked outside the boundary.
  • The image sequence timeline under Video Label Mode has been updated.
    • Editing the selected object
    • Filtering the annotation object within the frame
    • Deleting objects with multiple shapes at once
​

Removed Features

Remove and Delete Label Tag

  • You can find a label you need under the Labels tab by applying multiple search keywords and filters. We’ve changed it so that you cannot delete the Label Tag filter immediately.
  • Originally if a label tag was deleted, there was no way for users to track which labels the tag was removed from. You can now delete a label tag only after manually removing them from all tagged labels.

January 27, 2022(v1.12.3) - Request Review

New Features

  • You can now view reviewer information by hovering over the Reviewer column of each label.
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Improvements

  • When applying Auto-Label, the current Auto-Label Configuration information will now be displayed.
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January 26, 2022 (v1.12.2) - Request Review, Action Tracker

New Features

Request Review (Labeler Assignment)

  • In addition to Labeler Assignment, we’ve added the Request Review feature for requesting label review to a team member. This allows you to assign a specific reviewer per label.
  • The reviewer assignment has the same process as the labeler assignment. You can select the labels to be assigned from the checkbox and click the Review Request button on top of the label list.
  • Only Admin/Manager-level users can access this feature.
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Improvements

Improved Large-Scale Task Support

The performance of large data/labeling tasks on the Suite has been improved. We provide support features to help you with deleting data, assigning data to projects, changing data group names, and assigning or canceling labelers/reviewers.

Improved Action Tracker

Task progress and user information are now recorded under the Action Tracker on top. Action History is saved for up to 7 days.

Moved Export Button

The Export button under the Labels page has been moved out of the dropdown menu.

Auto-Label

  • We’ve improved the Auto-Label Settings page UI.
  • Custom Auto-Label now also shows logged Export history.
  • We’ve improved the Custom Auto-Label list menu UI.

Labeler Assignment

  • The Assignment Order feature has been removed.
  • You can now view the applied filter status when selecting a label. We’ve also improved the Distribution Method description.
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Bug Fixes

  • Fixed an issue of the user's level showing up instead of the name under the Assign modal window when assigning labels.

December 15, 2021 (v1.12.1) - SDK Review -Related Entries, Label Mode Improvement

New Features

We’ve added review-related entries to the project statistics information obtained through the SDK.
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Improvements

Label Mode

  • When labeling keypoints, clicking outside of the image will now create a keypoint on the nearest edge.
  • We’ve improved the usability of the ‘Multiple Choice’ dropdown menu.
  • Clicking a frame under the video timeline in video Label Mode relocates the ‘current frame’.
  • We’ve improved the performance of the video timeline to run smoothly with a large number of annotations and frames.
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Bug Fixes

Label Mode

  • Fixed an issue with frame resetting to 0 when switching from video Label Mode to Review Mode.
  • Fixed an issue where screen zoom-in while using Union Subtract function in polygon segmentation cancels the function.
  • Fixed an issue where screen zoom-in while using Union Subtract mode in polygon segmentation cancels the mode.

Auto-Label

  • When setting up Auto-Label, the entries linked to other object classes are now unavailable to select.

December 2, 2021 (v1.12.0) - Command Menu

New Features

Command Menu

A "command menu" has been added to the Suite. The command menu allows you to find features or take action with just a few keystrokes

Improvements

UX Improvement: Progress Bar

  • You can now view entries under the Done tab for up to 3 days.
  • Clicking the “Show older entries” button will now list entries from the last 7 days.
  • You can now filter entries by ‘only current project’ and ‘only your operation’.

Improved User Report

  • After you click the “Generate Full Report” button, the button will now be disabled until the report is generated. We’ve added this to prevent multiple simultaneous requests.
  • When a user report fails to generate, you can now view an error message (instead of a progress spinner) to check the issue.

Improved Invite Users

  • You can check the issue under the error message when an error occurs when inviting members.

Improved Custom Auto-Label

  • Any object classes you cannot apply to Custom Auto-Label are now shown as N/A under the Apply tab, and the checkbox will be disabled.

Bug Fixes

Label Mode

  • Fixed an issue with keypoint drawing not working in continuous drawing mode.
  • Screen zoom is now maintained when checking the timeline in video label mode.
  • Fixed an issue with toggling label information.
  • Fixed an issue in label mode when an unrecognizable image is added.

Custom Auto-Label

  • Updated nomenclature: Properties → Options.

Project Analytics

  • Fixed an issue with Object Counts Chart not updating correctly when the name of a specific object class is changed.

November 18, 2021 (v1.11.0) - Custom Auto-Label Image Categorization, Auto-Label Settings Tab

New Features

Label Classification for Custom Auto-Label
  • We’ve added a new annotation type for Custom Auto-Label: Image Category. You can now train and apply Custom Auto-Label for image categorization (classification).
Updated Auto-Label Configuration and New Dedicated Page
  • With the new image category support, the Auto-Label configuration has been updated.
Before
New
Set up Auto-Label during project creation
Set up Auto-Label under the new "Auto-Label Settings" tab after project creation
  • The "Auto-Label Configuration" section has been added to the Project Overview page.
  • A new Auto-Label settings tab and page have been provided, from which users can check current Auto-Label settings.
SDK List Projects
  • Added a function to list projects within the SDK.

Improvements

  • Fixed an issue with the line thickness of a bounding box changing on-screen zoom in/out in Label Mode.
​

October 27, 2021 (v1.10.4) - Sample Projects

New Features

Sample Projects with Large Datasets

  • You can now create sample projects on the Suite using the following large provided datasets: retail, autonomous driving, agriculture, and industrial surface. Each sample project includes a Custom Auto-Label AI that is pretrained using the relevant dataset.
↗ Related Manual: Create New Sample Project​

Improvements

Project Analytics

The "Submitted Labels" analytics chart is now updated every 2 minutes.

September 15, 2021 (v1.10.2) - Label Mode, Multi-Polygon Segmentation, Manual Review, Custom Auto-Label, etc.

New Features

1. Issue Thread in Label Mode
  • You can now create and manage an issue in our new Label Mode.
2. Multi-Polygon Segmentation
  • We’ve added multi-polygon segmentation to our list of supported annotation types.
    • You can add multiple polygons to one single object or carve out areas within a specific polygon.
  • Click the polygon annotation you would like to select in the Objects panel on the left-hand side.
  • You can add or remove polygons by clicking on the +(Union), -(Subtract), or the Redraw buttons at the top of the Label Mode.
    • You can create additional polygons by clicking on the +(Union) button.
    • You can cut out some parts of an object by clicking on the -(Subtract) button.
    • You can Redraw polygons by selecting the start and end points of the area you want to redraw in a clockwise direction.
    • To delete one or more consecutive points of a polygon, you can double-click on it with the Redraw button
    ​
3. Manual Review
  • The Reviews column that shows the review status (Approved, Rejected, Pending) will be displayed as follows.
    • You can check the number of review rounds per label.
    • If you hover on the review column, you can check the reviewer information shown via text bubble.
    • Click the Reviews column to sort by the number of review rounds and review status (higher rounds first, rejected reviews first)
  • Full-Screen Review Mode
    • You can run the Review Mode in full screen by clicking the Review button on the upper left of the sidebar.
    • This method allows you to review labels that are pending review with the highest number of review rounds
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Improvements

  1. 1.
    Streamlined Sign-Up Process
    We’ve improved our sign-up process. Please refer to the relevant manual for details.
    ↗️ Related Manual: Create an account
  2. 2.
    UI/UX Update - Invite Users
    You can invite users with different user roles all at once. Please refer to the relevant manual for details.
    ↗️ Related Manual: Invite or Delete Users
  3. 3.
    Improved Performance of Custom Auto-Label
    • You can now create Custom Auto-Label directly from the Custom Auto-Label tab using the + Create Custom Auto-Label AI button
    • You can then quickly configure the Custom Auto-Label to the project settings by clicking on the Apply button.
    • Precision and Recall metrics for Custom Auto-Label AI
      You can evaluate the performance of Custom Auto-Label AI using precision and recall scores for each object class.
      ↗️ Related Manual: What are precision and recall?​
4. Improvement on the Overview Page
  • The Overview page now shows greater detail on the number of labels in each review status**.**
5. Updated Data Types
  • The names of the two image data types have been changed as follows:
    • Image(New) → Image
    • Image → Image(Deprecated)
  • Image(Deprecated) type will soon be removed from the Suite, so using the Image type is highly recommended.

August 26, 2021 (v1.10.1) - Labeling Status, Auto-Label Difficulty

Improvements

1. Labeling Status on the Project Overview Page
With the new manual review feature, the review status view in the Project Overview page has been improved to provide greater detail on the number of labels in each status.
  • You can now check the number of labels per each status: In progress, submitted, and skipped, depending on whether or not the label is submitted
  • Each status is further divided into 2 statuses, depending on whether or not the label has been reviewed
    • Note: Reviewers can approve/reject both submitted labels and skipped labels. Rejected labels will be assigned back to the labeler.
  • You can now simply click on each status in the Overview Page and get the filtered list of data immediately.
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2. Filter by Auto-Label Difficulty
You can now filter labels by ‘Auto-Label Difficulty’ levels: Easy, Medium, and Hard

August 13, 2021 (v1.10.0) - New Suite UI, Review & Label Modes, Manual Review

New Features

1. Suite UI/UX Renewal
1-1. New Navigation Bar
  • The navigation bar has been changed from being located horizontally at the top to vertically on the left.
  • A new sidebar has been added to show all the project features at once. You can now quickly navigate to the desired tab.
1-2. Data Upload UI/UX Update
  • The user interface of Data Upload has been updated. You can now easily follow the instructions on how to upload data step-by-step on the page.
  • The CLI(Command Line Interface) Upload option has been added. You can now choose one of the four methods (File, Cloud, URL, or CLI) to upload data.
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↗
 Related Manual:
1-3. Review Mode, Label Mode
  • The nomenclature for what we used to call 1) Detail View and 2) Annotation App has been changed to 1) Review Mode and 2) Label Mode.
  • You can create and edit annotations in Label Mode; check the results, add comments and perform quality assurance in Review Mode.
  • In Review Mode, you can view detailed information of a label in the Label Information panel. You can also use the Approve/Reject button for Manual Review.
  • You can quickly find all the information on the labeling task (object classes and annotation types) in the Tasks panel; Generated annotations are listed in the Object panel, and you can leave comments/feedback in the Issues panel; You can view keyboard shortcuts in the Shortcut panel and configure labeling conditions in the Adjustments panel.
  • Click on the edit button at the bottom right of the page in Review Mode. You can switch to Label Mode without having to open a new tab.
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↗
 Related Manual:
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2. Manual Review
  • Labelers can now submit labels and have them reviewed by reviewers/validators. Reviewers can evaluate the quality of labels and either approve or reject each label. Manual Review is the most basic method of quality assurance in Suite.
​
↗
 Related Manual:

Improvements

  1. 1.
    Add Data to Project faster
    The time it takes to assign large-scale data to a project has been reduced.
  2. 2.
    Improved performance of Custom Auto-Label
    With the implementation of a new, improved deep learning architecture and training module, the object detection performance of our custom auto-labeling model has been improved.

June 18, 2021 (v1.9.6) - Export History, Profile Picture, User Report

Improvements

1. Export History
  • You can now edit the name of each export job on the Export History page.
  • You can delete unwanted export history by clicking on the Trash icon in the upper right corner of each export.
2. Profile Picture
  • You can now add or change your profile picture on Suite. The default profile picture is generated using the first letter of your name with random background color.
  • Go to My Profile page on My Account tab and click on the ‘Edit’ button to make changes.
3. User Report
  • You can now view “Category Count” and “Labeling Time” information on our User Reports under the Analytics tab.

June 4, 2021 (v1.9.5) - Data Upload (Image&Video)

New Features

1. Improved Data Upload
  • You can now directly add data to your project on the project overview page.
    • Click on the “assign existing data” button under the “To Do” section to start adding existing data.
  • If your project is empty, you can also add your existing data to the project from the Label List by clicking on the “assign existing data” button.

Improvements

  • For video projects, you can now upload more than 100,000 frames via Cloud Upload.
​

April 23, 2021 (v1.9.2) - Keypoint Template, SDK, Slack Integration

New Features

1. Import existing custom keypoint templates into a new project You can load and re-use keypoint templates that you have already created in different projects.
2. Suite SDK Superb AI Suite SDK is now available via Github. Please refer to the following link for more guides and example SDK use-cases: Superb AI Suite Examples SDK​

April 9, 2021 (v1.9.1) - Keypoint Auto-Labeling, Custom Keypoint Template, Annotation App Update

New Features

1. Keypoint Auto-Labeling
  • Auto-labeling is now available for keypoints detection.
  • We currently support the ‘person’ class for our Keypoint Auto-Labeling. To use this pre-trained AI, the object class you select must be configured on the ‘Human template’.
2. Custom Keypoint Template
  • You can now add your own custom keypoint template.
  • When creating a project, you can configure a custom keypoint template in the Object Class section. Please copy and paste the JSON file that contains the location, name and color information of the keypoints. Or, you can edit the JSON template directly on the web browser.
  • You can create multiple custom keypoint templates in a single project.
3. Custom Keypoint Auto-Labeling
  • You can create a Custom Auto-Label model that is trained on your custom keypoint labels. Label your data using the custom template, export the labeled dataset, and start training the Custom Auto-Label model. ❗ You can apply Custom Auto-Label when the keypoint configuration settings for the custom auto-label and the target object class are the same.

March 26, 2021 (v1.9.0) - GCP Integration, Annotation App Renewal, Per Frame Feature, Analytics Update

New Features

1. Google Cloud Platform (GCP) Integrations You can now access data stored on your Google Cloud Platform. 1-1. Cloud Upload through Integrations
  • To use the Cloud Upload function, you must first add GCP from the integrations menu.
  • Please refer to the tutorial below for detailed instructions on adding a new integration and uploading data from your GCP storage. Google Cloud Platform →​
1-2. Enhanced Data Security with Read-Only Upload
  • On your cloud storage, you can choose to give read-only access to your data assets. When you turn this option on, the data remains solely within your managed storage, and no copy of the data will be created on Suite.
  • Restrictions:
    • GCP Integration is currently limited to image data only.
    • There are some restrictions on the use of ‘Raw Data Download’
    • A retrieval cost applies when you request or read data stored on your cloud storage.
2. Frame-Level Categorization
  • For video projects, you can now set up the annotation type ( image category/property) per frame on the Project Configuration page.
  • You can select frame-level properties for each object ID.
3. Analytics - ‘Dataset’ filter You can now find analytics by dataset on the Analytics tab.

Improvements

  1. 1.
    When uploading data to a project, you will be notified of the connection failure with an alert if your data is a duplicate or does not match with the project type.
  2. 2.
    The position of the icon that indicates the difficulty level of Auto-Label has been changed as below.

March 12, 2021 (v1.8)

New Features

1. New Image and Video Annotation App (Beta) The annotation app for video and image projects has been updated.
  • Custom keyboard shortcuts You can now customize your shortcuts as you like. If you want, you may revert back to the default key settings. Click on the keyboard button in the upper right corner to set up the shortcuts.
  • Resizing annotation elements You can resize each annotated area (left and right panels and timeline) within the annotation app.
  • Non-stop labeling mode
    • The non-stop labeling mode has been added.
    • With this mode enabled, you can immediately work on the next label after submission.
    • You can select or clear the checkbox, ‘Continue?’, at the top right corner of the annotation app.
2. Multiple Categorization
  • You can now perform multiple categorization tasks within a single project.
  • On the Project Configuration page, you can set up the desired response method among multiple choice, multiple selection and free response.

February 25, 2021 (v1.7)

New Features

1. AWS (S3) Integration You can now access data stored on your AWS S3 cloud storage. To use the Cloud Upload function, you must first add S3 from the integrations menu. We currently support integration with AWS S3. If you need any further help with other cloud integrations, contact us at [email protected].
1-1. Cloud Upload through Integrations
  • In order to upload data from a cloud storage such as AWS S3, your account first needs to be integrated with the cloud storage.
  • Once the integration is complete, you can easily access data on your cloud storage without having to enter the Access Key and Secret Key each time.
  • Please refer to the tutorial below for detailed instructions on adding a new integration and uploading data from your integrated cloud storage.
1-2. Enhanced Data Security with Read-Only Upload
  • You can now upload data on your cloud storage (such as S3 bucket), and choose to give read-only access to these files. When you select this option while uploading, your Superb AI Suite account will only have read-only access to data stored in your cloud storage. This means that your data will remain solely within your managed storage, and you can always remove the integration to disconnect access.
    • There are some restrictions on the use of Raw Data Download
  • Please refer to the user manual below for a step-by-step guide to upload data.
​
2. Custom Auto-label
  • Cross project function You can now apply custom auto labels that you created with one dataset to another project with different datasets.
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3. New Video Annotation Type New annotation types (keypoint and image category) have been added, and there are now four annotation types available for Video projects.

December 24, 2020 (v1.5)

New Features

1. Cloud (AWS S3) Upload
2. Video Cloud Upload
  • Import mp4 file You can now import mp4 files when using the video Cloud Upload function. Once you select the desired frames per second (FPS) on the upload page, the files will be converted into image sequences before they are uploaded. Notes
    • The size of the mp4 file that you can upload is limited to 100MB, and the video length is limited to 5 minutes.
    • Please note that each frame is considered as one data asset, so please choose your FPS carefully. (If a video data contains 100 frames, it will be counted as having used 100 data assets)
3. Video Auto-label
You can now apply Auto-Label to projects that contain video data.
  • Auto-label for Video Projects include object tracking function. Auto-label AI will detect and track objects throughout the video and automatically provide unique object tracking IDs.
  • Like projects that contain image data, you can configure Auto-label on the Project Setting page.
  • You can then use the feature by clicking on the Auto-label button on the Label List page.
  • Please note that when applying Auto-label to videos, you'll be metered based on the number of frames Auto-label is applied to. (Each frame is considered as one data asset)
4. User Statistics & Report
  • You can now view the total number of object annotations per each annotation type. ❗ You must click on the Update Now button to view the latest statistics. Simply refreshing the page won’t work.
  • When you press the button at the top-right corner of the Annotations Summary chart, you will see the types of annotation in the table header. Click on the download (↓) button to get an excel file with the annotation types abbreviated as follows:
    • (B): Box, (P): Polygon, (KP): Keypoint, (PL): Polyline, (TB): Tilted Box
​

Improvements

  • Usability Improvement: Label Filtering You can now apply filters a lot easier and faster and get the search results immediately, without having to click on a button start the filter action.
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  • You can now find statistics by user in real time! On the Analytics tab > User Analytics menu, click on the Update Now button to update the statistics information.
  • You will be notified whenever a new version is updated. When the new version is updated, you will see the following message. Click on the Update button to refresh the page.
  • We’ve improved the toolbar for the video annotation app and the user interface of the Issue Thread.

November 13, 2020 (v1.5.2) - Raw Data Download, Project Duplicate

New Features

  • Raw Data Download
    • You can now download the raw data that is used in an image project.
    • Go to the project setting page to download.
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     Only the Owner & Admin-level users can access this feature.
  • Project Duplicate
    • You can now duplicate the selected project with the same configuration.
    • Go to the project setting page to duplicate.
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    ❗
     Only the Owner & Admin-level users can access this feature.
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     Note that the project’s dataset does not get duplicated.

Improvements

  • Label Assignment (Proportional Distribution)
    You can now select an option of “Proportional” to distribute an equal number of labels to the selected users.
  • Delete Users (in bulk)
    You can now delete users in bulk
  • New Filter Option
    Tag > Contains only: filter out labels with selected tags
  • Added Features for Video Work App
    • Merge: If you labeled the same object with different IDs in more than two frames, you can choose to merge these into a single ID.
    • Split: In case you labeled different objects with the same ID, you can choose to split them into different IDs.
    • Undo

Bug Fixes

  • There have been various bug fixes

October 30, 2020 (v1.5.1) - Video Data Project, Label list filter

New Features