WE OPTIMISE ANY & EVERY STEP OF YOUR DATA ANNOTATION PIPELINE
WE OPTIMISE ANY & EVERY STEP OF YOUR DATA ANNO-TATION PIPELINE
Data Selection iconData Ambiguity Refinement iconData AnnotationQuality Assurance icon
Training Models icon

services

DATA
SELECTION

WE MAKE YOUR DATASET RAD

We optimise the representativeness and diversity of your datasets, to avoid harmful biases in your end-product. A RAD dataset improves machine learning model performance through quantifiable and actionable quality metrics.

a multi-ethnic collection of adult profile pictures
Representative
of the real-world
Accurately defined taxonomy and annotations
Woman walking by realistic mannequins
Difficult edge cases sprinkled throughout

services

DATA AMBIGUITY REFINEMENT

We optimise the representativeness and diversity of your datasets, to avoid harmful biases in your end-product. A RAD dataset improves machine learning model performance through quantifiable and actionable quality metrics.

Data ambiguity refinement flow chart
sample section of data annotation flow chart

services

DATA
ANNOTATION

We scale your annotation pipeline by breaking your taxonomy into small, intuitive questions, which form a fully automated decision tree. We run multiple repeats to give you confidence scores on all of your annotations.

services

quality assurance

Is the real quality of your dataset unknown due to:

  • Multiple annotation companies contributing annotations?
  • Varying criteria for quality scoring?
  • Taxonomy version changes over time?

We take care of the detection and correction of your error sources.

Sample of annotation correction of non-occluded pedestrian man crossing a street