Object localization framework for unannotated image data

A method for object localization in image data, the method comprising:

• receiving an image comprising unannotated image data having at least one object in the image;
• accessing a first object localization process of a plurality of object localization processes for an object localization framework;
• determining first bounding box information for the image using the first object localization process, wherein the first bounding box information comprises at least one first bounding box annotating at least a portion of the at least one object in the image;
• receiving first feedback regarding the first bounding box information determined by the first object localization process;
• if the received first feedback indicates success, persisting the image with the first bounding box information determined by the first object localization process so that it can be applied for object detection in other images;
• and
• if the received first feedback indicates failure, accessing a second object localization process of the plurality of object localization processes.

A non-transitory machine-readable medium having stored thereon instructions for performing a method comprising machine executable code which when executed by at least one machine, causes the machine to:

• receive a image comprising unannotated image data having at least one object in the image;
• access a first object localization process of a plurality of object localization processes for an object localization framework;
• determine first bounding box information for the image using the first object localization process, wherein the first bounding box information comprises at least one first bounding box annotating at least a portion of the at least one object in the image;
• receive first feedback regarding the first bounding box information determined by the first object localization process;
• if the received first feedback indicates success, persist the image with the first bounding box information determined by the first object localization process so that it can be applied for object detection in other images;
• and
• if the received first feedback indicates failure, access a second object localization process of the plurality of object localization processes.