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Manual 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, you’ll see the following Collaborators:
  • 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 Project
Access Project
Set Priority to 75
Set Priority
Annotators can configure the Annotate Label Editor so they can more effectively and efficiently label data.
Prepare to label
2

Manually Label Data

The Team Manager or Project Admin can monitor the performance and progress of the annotation team.
Monitor Annotator Performance
Annotators manually annotate fruit in the Dataset using object labels and classifications. We’ll focus on blueberries, cherries, apples and whether the fruit is ripe.
Use hotkeys to speed up your annotation process.
To significantly improve the accuracy and speed of you annotations, consider upgrading Encord to use SAM 2 and SAM 2 tracking.
Bounding BoxesWe’ll label cherries using bounding boxes.Images
Manually label cherry on images with bounding boxes
Videos
Manually label cherry on videos with bounding boxes
PolygonsWe’ll label blueberries using polygons.Images
Manually label blueberry on images with polygons
Videos
Manually label blueberry on videos with polygons
BitmasksWe’ll label apples using bitmasks.Images
Manually label apples on images with bitmasks
Videos
Manually label apples on videos with bitmasks
ClassificationsWe’ll label using the Ripe? classification.Images
Manually label Ripe? on images
Videos
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. 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.
Bounding BoxesImages
Review manual bounding box labels on images
Videos
Review manual bounding box labels on videos
PolygonsImages
Review manual polygon labels on images
Videos
Review manual polygon labels on videos
BitmasksImages
Review manual bitmask labels on images
Videos
Review manual bitmask labels on videos
ClassificationsImages
Review manual classifications on images
Videos
Review 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
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