1. A method for identifying a logo within an original image, comprising: receiving the original image that is to be searched for the logo; obtaining a first classifier trained using labeled representations of histograms of gradients to identify the logo; obtaining a second classifier trained using labeled parts models to identify the logo; analyzing whether the original image includes the logo by performing region analysis and parts model analysis, wherein the region analysis includes: dividing the original image into regions; and for each selected region of the regions: enlarging the selected region to a specified size; generating a histogram of gradients of the enlarged selected region; and computing first classifier results indicating whether the selected region includes the logo, the computing first classifier results performed by providing a version of the generated histogram of gradients of the enlarged selected region as input to the obtained first classifier; and wherein the parts model analysis includes: identifying key features of the original image; generating a parts model of the original image by representing one or more of the identified key features as a point, line, curve, or polygon; and computing second classifier results indicating whether the original image includes the logo, the computing second classifier results performed by providing a version of the generated parts model as input to the obtained second classifier; determining, based on the first classifier results or the second classifier results, that the original image includes the logo; and providing, based on the determining, an indication that the original image includes the logo.