1. A computer-implemented method for enrichment of a logo field of a first record in a computer system, the method comprising: retrieving a plurality of sample web pages; for each sample web page in the plurality of sample web pages, parsing the sample web page to extract one or more images from the sample web page along with a first plurality of features for each of the one or more images from the sample web page, the plurality of features including proximity of each of the one or more images from the sample web page to a top of the sample web page; labeling at least one of the images in one of the plurality of sample web pages as being an organization logo; feeding information about the labeled at least one of the images, the extracted first plurality of feature for each sample web page into a supervised machine learning classifier to train the supervised machine learning classifier to recognize when an image in a web page is an organization logo, wherein the supervised machine learning classifier utilizes a random forest algorithm and a k-nearest neighbor classifier; obtaining a web page using a web page address stored in the first record; parsing the web page to extract one or more images from the web page along with a second plurality of features for each of the one or more images from the web page, the first plurality of features including proximity of each of the one or more images from the web page to a top of the web page, without rendering the web page; inputting information about each image of the web page and the extracted second plurality of features for the web page into the supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating a probability that the image is an organization logo; and in response to a particular image in the web page having a logo confidence score transgressing a first threshold, injecting the particular image into an organization logo field of the first record.