  We have obtained structural parameters of about 340,000 galaxies from the
Kilo Degree Survey (KiDS) in 153 square degrees of data release 1, 2 and 3. We
have performed a seeing convolved 2D single S\'ersic fit to the galaxy images
in the 4 photometric bands (u, g, r, i) observed by KiDS, by selecting high
signal-to-noise ratio (S/N > 50) systems in every bands.
  We have classified galaxies as spheroids and disc-dominated by combining
their spectral energy distribution properties and their S\'ersic index. Using
photometric redshifts derived from a machine learning technique, we have
determined the evolution of the effective radius, \Re\ and stellar mass, \mst,
versus redshift, for both mass complete samples of spheroids and disc-dominated
galaxies up to z ~ 0.6.
  Our results show a significant evolution of the structural quantities at
intermediate redshift for the massive spheroids ($\mbox{Log}\ M_*/M_\odot>11$,
Chabrier IMF), while almost no evolution has found for less massive ones
($\mbox{Log}\ M_*/M_\odot < 11$). On the other hand, disc dominated systems
show a milder evolution in the less massive systems ($\mbox{Log}\ M_*/M_\odot <
11$) and possibly no evolution of the more massive systems. These trends are
generally consistent with predictions from hydrodynamical simulations and
independent datasets out to redshift z ~ 0.6, although in some cases the
scatter of the data is large to drive final conclusions.
  These results, based on 1/10 of the expected KiDS area, reinforce precedent
finding based on smaller statistical samples and show the route toward more
accurate results, expected with the the next survey releases.
