1. A computer-implemented method for mannequin detection within an image, the computer-implemented method comprising: under control of a hardware computing device configured with specific computer-executable instructions, obtaining a first set of electronic training images depicting mannequins, wherein each electronic training image of the first set includes a first target object for detection, wherein the first target object corresponds to a detectable portion of a mannequin; identifying a plurality of regions within each electronic training image of the first set, wherein a region of the plurality of regions includes at least a portion of the first target object for detection; for each region of the plurality of regions, determining an associated likelihood of the region showing at least part of the first target object based, at least in part, on a location of the region relative to a corresponding electronic training image in accordance with a location distribution of the first target object over the first set of electronic training images and on a measure of coverage by an unobstructed portion of the first target object relative to the area of the region; generating a set of templates based at least in part on a subset of the plurality of regions, wherein the previously determined associated likelihood of each region of the subset exceeds a threshold value defining a high likelihood; causing configuration of a first classifier for detecting a second target object, wherein the second target object corresponds to a detectable portion of a mannequin, and wherein the configuration of the first classifier is based at least in part on a subset of the set of templates; causing application of the subset of templates on a second set of electronic training images depicting mannequins to detect the second target object from the second set of electronic training images using the first classifier; and causing configuration of a second classifier for detecting a third target object from a target set of electronic images, wherein the configuration of the second classifier is based at least in part on a template of the applied subset of templates and wherein a depiction of mannequins in the target set of electronic images is unknown.