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We present photometric redshifts for an uniquely large and deep sample of522286 objects with i'_{AB}<25 in the Canada-France Legacy Survey ``DeepSurvey'' fields, which cover a total effective area of 3.2 deg^2. We use 3241spectroscopic redshifts with 0<z<5 from the VIMOS VLT Deep Survey as acalibration to derive these photometric redshifts. We devise a robustcalibration method which removes systematic trends in the photometric redshiftsand significantly reduces the fraction of catastrophic errors. We use ourunique spectroscopic sample to present a detailed assessment of the robustnessof the photometric redshift sample. For a sample selected at i'_{AB}<24, wereach a redshift accuracy of \sigma_{\Delta z/(1+z)}=0.037 with \eta=3.7% ofcatastrophic error. The reliability of our photometric redshifts is lower forfainter objects: we find \sigma_{\Delta z/(1+z)}=0.029, 0.043 and \eta=1.7%,5.4% for samples selected at i'_{AB}=17.5-22.5 and 22.5-24 respectively. Wefind that the photometric redshifts of starburst galaxies in our sample areless reliable: although these galaxies represent only 18% of the spectroscopicsample they are responsible for 54% of the catastrophic errors. We find anexcellent agreement between the photometric and the VVDS spectroscopic redshiftdistributions at i'_{AB}<24. Finally, we compare the redshift distributions ofi' selected galaxies on the four CFHTLS deep fields, showing that cosmicvariance is already present on fields of 0.8 deg^2.

Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey