AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Read text on image1/8/2024 ![]() Extracting the features from the feature map associated with the spatial extent of each candidate box, and learning a classifier to recognize them (in our case, the categories are text and no text).Learning a region proposal network (RPN), which takes that feature map as input and produces a set of proposed regions (or bounding boxes) that are likely to contain text, together with their confidence score.Learning a CNN that can represent an image as a convolutional feature map.In a nutshell, Faster R-CNN simultaneously performs detection and recognition by: In the second step, we perform text recognition, where, for each of the detected regions, we use a convolutional neural network (CNN) to recognize and transcribe the word in the region.įor text detection, we adopted an approach based on Faster R-CNN, a state-of-the-art object detection network. In the first step, we detect rectangular regions that potentially contain text. ![]() We perform text extraction on an image in two independent steps: detection and recognition. It extracts text from more than a billion public Facebook and Instagram images and video frames (in a wide variety of languages), daily and in real time, and inputs it into a text recognition model that has been trained on classifiers to understand the context of the text and the image together. To address our specific needs, we built and deployed a large-scale machine learning system named Rosetta. Taking into account the sheer volume of photos shared each day on Facebook and Instagram, the number of languages supported on our global platform, and the variations of the text, the problem of understanding text in images is quite different from those solved by traditional optical character recognition (OCR) systems, which recognize the characters but don’t understand the context of the associated image. ![]() It might be overlaid on an image in a meme, or inlaid in a photo of a storefront, street sign, or restaurant menu. Understanding text in images along with the context in which it appears also helps our systems proactively identify inappropriate or harmful content and keep our community safe.Ī significant number of the photos shared on Facebook and Instagram contain text in various forms.
0 Comments
Read More
Leave a Reply. |