t('Face Recognition'));?>

t('Temporary files'));?>

t('During analysis, temporary files are used to ensure homogeneity between all images.'));?>

t('Small images allow a quick analysis, but you can lose the smallest faces of your photos. Large images can improve the results, but the analysis will be slower.'));?>

t('Smaller images'));?> disabled> t('Larger images'));?> ...

t('Clustering threshold'));?>

t('Persons are determined as groups of similar faces and to obtain them, all the faces found must be compared. When they are compared, a threshold is used to determine if they should be grouped.'));?>

t('A small threshold will only group very similar faces, but initially you will have many groups to name. A larger threshold is more flexible to group the faces and obtaining fewer groups, but being able to confuse similar persons.'));?>

t('Small threshold'));?> disabled> t('Higher threshold'));?> ...

t('Minimum confidence'));?>

t('The minimum confidence determines how reliable must be a face detection to try to group it. Blurred or misaligned faces would have a confidence closer to 0.0, and the best images close to 1.0.'));?>

t('Lower minimum confidence'));?> disabled> t('Higher minimum confidence'));?> ...

t('Minimum of faces in cluster'));?>

t('The minimum number of faces that a cluster must have to display it to the user.'));?>

t('These faces clusters will not be shown as a suggestion, but can always be renamed eventually in the side panel.'));?>

t('Less faces'));?> disabled> t('More faces'));?> ...

t('Configuration information'));?>

t('Current model:'));?>

t('Maximum memory assigned for image processing:'));?>

t('Current status'));?>