Label Studio topics
12 short topics in Data Science and Machine Learning. Each one is a single focused exercise with a clear piece of evidence at the end.
12 topics, one exercise each.
Work through them in order, or jump to the one you need.
These are draft topic outlines (draft; instructor review pending). Full lessons follow after review; ask Ajay if you need a topic sooner.
- 01
Annotation schema and task types
Produce a Label Studio design applying annotation schema and task types; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 02
Dataset import and organization
Produce a Label Studio design applying dataset import and organization; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 03
Label and instruction design
Produce a Label Studio design applying label and instruction design; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 04
Annotation interface behavior
Produce a Label Studio design applying annotation interface behavior; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 05
Reviewer and annotator roles
Produce a Label Studio design applying reviewer and annotator roles; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 06
Consensus and disagreement handling
Produce a Label Studio design applying consensus and disagreement handling; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 07
Quality-control sampling
Produce a Label Studio design applying quality-control sampling; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 08
Model-assisted annotation boundaries
Produce a Label Studio design applying model-assisted annotation boundaries; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 09
Annotation export contracts
Produce a Label Studio design applying annotation export contracts; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 10
Dataset versioning
Produce a Label Studio design applying dataset versioning; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 11
Sensitive-data handling
Produce a Label Studio design applying sensitive-data handling; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 12
Annotation audit and reproducibility
Produce a Label Studio design applying annotation audit and reproducibility; justify a tradeoff and define review criteria. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course →
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