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 Sérsic 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 Sérsic index. Using photometric redshifts derived from a machine learning technique, we have determined the evolution of the effective radius, R e and stellar mass, M ⋆ , 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 (Log M * /M ⊙ > 11, Chabrier IMF), while almost no evolution has found for less massive ones (Log M * /M ⊙ < 11). On the other hand, disc dominated systems show a milder evolution in the less massive systems (Log M * /M ⊙ < 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.