A target object color analysis and tagging apparatus comprising: an image analyzer, executed by at least one hardware processor (302; 504), to ascertain, for an image or video that is to be analyzed, an attribute of the image or video, wherein the attribute of the image or video includes text within the image or video, and determine, based on the attribute of the image or video, categories of related objects by: determining, based on an analysis of a repository of objects based on the text within the image or video, categories of related objects, wherein the categories of related objects are determined as a function of synonyms determined from the text within the image or video, wherein the categories of related objects include a target object that is to be identified; an object identifier, executed by the at least one hardware processor, to extract, based on a learning model, a plurality of objects from the image or video, and identify, based on a comparison of the categories of related objects and the plurality of extracted objects from the image or video, the target object in the image or video, based on matching a category and an extracted object; a color analyzer, executed by the at least one hardware processor, to extract color information from the identified target object, ascertain a plurality of color tags associated with the identified target object, and determine a plurality of color distances between the color information and the plurality of color tags; and a color tagger, executed by the at least one hardware processor, to determine, based on a determination of a minimum color distance from the plurality of color distances, a color tag of the plurality of color tags that is to be assigned to the identified target object. an image analyzer, executed by at least one hardware processor (302; 504), to ascertain, for an image or video that is to be analyzed, an attribute of the image or video, wherein the attribute of the image or video includes text within the image or video, and determine, based on the attribute of the image or video, categories of related objects by: determining, based on an analysis of a repository of objects based on the text within the image or video, categories of related objects, wherein the categories of related objects are determined as a function of synonyms determined from the text within the image or video, wherein the categories of related objects include a target object that is to be identified; ascertain, for an image or video that is to be analyzed, an attribute of the image or video, wherein the attribute of the image or video includes text within the image or video, and determine, based on the attribute of the image or video, categories of related objects by: determining, based on an analysis of a repository of objects based on the text within the image or video, categories of related objects, wherein the categories of related objects are determined as a function of synonyms determined from the text within the image or video, wherein the categories of related objects include a target object that is to be identified; an object identifier, executed by the at least one hardware processor, to extract, based on a learning model, a plurality of objects from the image or video, and identify, based on a comparison of the categories of related objects and the plurality of extracted objects from the image or video, the target object in the image or video, based on matching a category and an extracted object; extract, based on a learning model, a plurality of objects from the image or video, and identify, based on a comparison of the categories of related objects and the plurality of extracted objects from the image or video, the target object in the image or video, based on matching a category and an extracted object; a color analyzer, executed by the at least one hardware processor, to extract color information from the identified target object, ascertain a plurality of color tags associated with the identified target object, and determine a plurality of color distances between the color information and the plurality of color tags; and extract color information from the identified target object, ascertain a plurality of color tags associated with the identified target object, and determine a plurality of color distances between the color information and the plurality of color tags; and a color tagger, executed by the at least one hardware processor, to determine, based on a determination of a minimum color distance from the plurality of color distances, a color tag of the plurality of color tags that is to be assigned to the identified target object.