<aside> 🔑 Here are some of the key definitions a user would come across while using Labellerr.

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Key Definitions
Annotation The action of labeling a text or a diagram. An Annotation is a note by way of explanation or comment. There are many types of annotations based on user requirements, For E.g. Bounding Box, Polygon, Landmark, Line etc.
Auto Label A tool that can be set up to call auto labeling predictions powered by A.I.
Automation
Attributes
Bulk Assign Owners and Supereditors have the option of changing the status and reassigning samples to one of the annotators through manual selection. The assigned files would then be displayed for action to the particular user.
Classification Classifications are like questions For E.g Radio, Dropdown, Input, Multi-select etc.
Cumulative Score
Child Datasets
Data type The type of data to be selected for a project. For. E.g Picture, Video, Audio, Text.
Dataset A collection of Data files that are added to Labellerr for annotation. A project may have multiple datasets.
Data Sources The source from which data is uploaded. On Labellerr data can be uploaded from Google Drive, Dropbox, Google Cloud Storage, Amazon S3, Microsoft Azure, and Local Drives/Storages.
Data Curation Data curation is the practice of gathering and managing data to use for analytical purposes.
File Type File types are the file format supported. For E.g Pictures (JPG/PNG), Video (MP4), text (.txt files), etc.
Guidelines A set of instructions or parameters that can be added to each object, classification, or file to help annotators in labeling. Guidelines can be added while creating a dataset or by reviewers.
Gold Standard Annotation
Object Objects on Labellerr are the annotations that are used within a project and named. For E.g a bounding box labels persons in an image file is an object.
Mertics
Workspaces A workspace is a ‘Centralized environment’ enabling large organizations to manage and track multiple projects under the same domain. A single Organization might have a single subsidiary or teams where each team might own a separate workspace.
Project An enterprise that is carefully planned to achieve a particular aim. Projects include multiple datasets, users, annotations, etc with a single datatype. For E.g A project named ‘Buildings’ with image files can have multiple datasets of Buildings all of the same ‘Image’ file type.
Status Against each file, its status is displayed as per the action performed on it. For E.g a file after clearing the annotation would display ‘Ready for review’ as its status. (statuses change in real-time)
Templates A template is a present (or preexisting) format of labeling or filtering. A template with a set of objects and classifications or filtration can be created and saved to be made available and applied to future projects.
User Roles Users can be assigned different roles which grant them access to a different interface and activities on Labellerr. A user can be an Annotator, Reviewer, Admin, Supervisor, etc.