These Machine Learning Techniques Make Google Lens A Success

Google Lens was introduced a couple of years ago by Google in a move to spearhead the'AI first' products movement. Now, with the enhancement of machine learning techniques, especially in the domain of image processing and NLP, Google Lens has scaled to new heights. Lens uses computer vision, machine learning and Google's Knowledge Graph to let people turn the things they see in the real world into a visual search box, enabling them to identify objects like plants and animals, or to copy and paste text from the real world into their phone. After Lens in Google Go captures an image, it needs to make sense of the shapes and letters. This is vital for text recognition tasks.