Active learning with binary models for real time data labelling. (arXiv:2203.00439v2 [cs.CV] UPDATED)

Machine learning (ML) and Deep Learning (DL) tasks primarily depend on data.
Most of the ML and DL applications involve supervised learning which requires
labelled data. In the initial phases of ML realm lack of data used to be a
problem, now we are in a new era of big data. The supervised ML algorithms
require data to be labelled and of good quality. Labelling task requires a
large amount of money and time investment. Data labelling require a skilled …

active learning arxiv binary cv data labelling learning real time data time