The metadata created from the labeling work on assets. For example, a box delimiting the house on the satellite image, or the selection of textual information related to its typology of named entities.
The action of creating metadata to characterize an asset and make it fit for training machine learning models. For example, identifying a house on a satellite image, or attaching textual information to a type of named entity on a document. Also called labeling.
A file/document. This could be a photograph, a satellite image, a video, a PDF, an email, etc.
A quality parameter to measure the agreement between several annotations made on the same asset by different labelers. Ensures consistency between annotators and helps achieve top data quality for your project.
A quality parameter to measure the agreement between a pre-annotated asset (gold standard) and the annotations made by labelers.
Labeling (or annotation) jobs are labeling tasks which are associated with specific tools or input types.
For example, each one of these can be considered a Kili labeling job:
- Classification task with a multi choice dropdown input type
- Object detection task with the polygon tool
- Named entities recognition task
In Video labeling, when you make an adjustment on a specific frame, you create a key frame: a crucial reference point with your object's location and attributes. This information is then used to track the object across the video's remaining frames. Location of any of the objects located in between key frames is inferred by the video labeling engine (automatic interpolation). Key frames are quite significant, as their presence or absence often determines how certain features behave.
The combination of all annotations created on an asset. The annotations that comprise a label don’t have to be the product of one type of labeling job. For example, all houses identified on a satellite image, all annotated fragments of text in a document, or the combination of annotated named entities and a text classification in a text file would all be considered a label.
The action of creating metadata to characterize an asset and make it fit for training machine learning models. For example, identifying a house on a satellite image, or attaching textual information to a type of named entity on a document. Also called annotating.
An organization contains users who can create projects and easily collaborate. A project belongs to an organization when its author is a member of the organization.
A project is the combination of:
Updated 20 days ago