Abstract: One example method provided herein comprises: receiving an input image from a client device, the input image comprising a view of one or move products, wherein the input image comprises a plurality of pixels; generating, using a trained machine learning model, a bounding box for each of the one or more products, respectively, each bounding box comprising a subset of the plurality of pixels, wherein each bounding box indicates a particular product of the one or more products; generating a segmentation M mask for the pixels within each of the bounding boxes; generating, using each segmentation mask, an isolated image of each product indicated by one of the bounding boxes, wherein each isolated image comprises substantially only a set of pixels representing the indicated product; generating, using each isolated image of each product, a classification of each of the one or more products; and displaying information related to the generated classifications.