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Annotation of images and videos depends on your Ontology. Our Ontology E2E Fruit Ontology has the following label types:
  • Bounding boxes
  • Polygons
  • Bitmasks
  • Classifications
In this section, the following Collaborators roles are shown:
  • Annotators labeling data
  • Reviewers reviewing labels created by Annotators
  • Team Manager managing the Annotators and Reviewers
  • Project Admin managing the Project and exporting labels
1

Prepare to Label

The Team Manager or Project Admin can prioritize certain data to be labeled and reviewed first. Let’s prioritize the blueberries, cherries, and apples to be labeled first by setting the priority for those files to 75.Access ProjectAccess ProjectSet Priority to 75Set Priority
Annotators can configure the Label Editor so they can more effectively and efficiently label data.Prepare to label
2

Use SAM 2 to Label Data

The Team Manager or Project Admin can monitor the performance and progress of the annotation team.Monitor Annotator Performance
This is a Consensus Project using the default Consensus workflow Workflow with the default values (3 Annotators). This means that 3 Annotators are REQUIRED to annotate and submit a data unit before the data unit moves to the REVIEW stage.
Annotators use SAM 2 or manually annotate fruit in the Dataset using object labels. Classifications are manually annotated. We’ll focus on blueberries, cherries, apples and whether the fruit is ripe.
Use hotkeys to speed up your annotation process.
Bounding BoxesWe’ll use SAM 2 and manually created bounding boxes to label cherries.Images
  • Annotator 1 - Using SAM 2
Use SAM 2 to label cherry on images with bounding boxes
  • Annotator 2 - Manual annotation
Manually label cherry on images with bounding boxes
  • Annotator 3 - Using SAM 2
Use SAM 2 to label cherry on images with bounding boxesVideos
  • Annotator 1 - Using SAM 2
Use SAM 2 to label cherry on videos with bounding boxes
  • Annotator 2 - Manual annotation
Manually label cherry on videos with bounding boxes
  • Annotator 3 - Using SAM 2
Use SAM 2 to label cherry on videos with bounding boxesPolygonsWe’ll use SAM 2 and manually created polygons to label blueberries.Images
  • Annotator 1 - Using SAM 2
Use SAM 2 to label blueberry on images with polygons
  • Annotator 2 - Manual annotation
Manually label blueberry on images with polygons
  • Annotator 3 - Using SAM 2
Use SAM 2 to label blueberry on images with polygonsVideos
  • Annotator 1 - Using SAM 2
Use SAM 2 to label blueberry on videos with polygons
  • Annotator 2 - Manual annotation
Manually label blueberry polygons on videos
  • Annotator 3 - Using SAM 2
Use SAM 2 to label blueberry polygons on videosBitmasksWe’ll use SAM 2 and manually created bitmasks to label apples.Images
  • Annotator 1 - Using SAM 2
Use SAM 2 bitmasks to label apples on images
  • Annotator 2 - Manual annotation
Manually label apples on images using bitmasks
  • Annotator 3 - Using SAM 2
Use SAM 2 bitmasks to label apples on imagesVideos
  • Annotator 1 - Using SAM 2
Use SAM 2 bitmasks to label apples on videos
  • Annotator 2 - Manual annotation
Manually label apples bitmasks on videos
  • Annotator 3 - Using SAM 2
Use SAM 2 bitmasks to label apples on videosClassificationsWe’ll label using the Ripe? classification.Images
  • Annotator 1
Manually label Ripe? on images
  • Annotator 2
Manually label Ripe? on images
  • Annotator 3
Manually label Ripe? on imagesVideos
  • Annotator 1
Manually label Ripe? on videos
  • Annotator 2
Manually label Ripe? on videos
  • Annotator 3
Manually label Ripe? on videos
3

Review Labels

The Team Manager or Project Admin can monitor the performance and progress of the review team.Monitor reviewers
Reviewers review object labels and classifications from multiple Annotators and decide on the best object labels and classifications. We’ll focus on blueberries, cherries, apples (object labels) and whether the fruit is ripe (classifications).
You can approve labels/classifications on a task one at a time (from the left panel) or all at once (using the Approval all button).
When there is an issue with labels/classifications, Reviewers can:
  • Reject the task and add a comment about why a task was rejected. Rejected tasks go back to the person who added the labels/classifications.
  • Edit labels directly using the Edit labels button and then approve the task.
Rejected TasksBefore going over tasks that you can approve, we’ll look at one that will be rejected. The reason this task will be rejected is that the image contains juniper berries and not blueberries.Reject taskBounding BoxesImagesReview SAM 2 bounding box labels on imagesVideosReview SAM 2 bounding box labels on videosPolygonsImagesReview SAM 2 polygon labels on imagesVideosReview SAM 2 polygon labels on videosBitmasksImagesReview SAM 2 bitmask labels on imagesVideosReview SAM 2 bitmask labels on videosClassificationsImagesReview manual classifications on imagesVideosReview manual classifications on videos
4

Export Labels

Only Project Admins can export labels from Encord.
Export the labels from the Project Labels page.Export labels