Amazon Rekognition | Text in Image Flashcards
In addition to Video resolution, what else can affect the quality of the Rekognition Video APIs?
Text in Image
Amazon Rekognition | Machine Learning
Very fast moving celebrities and blurred videos can affect the quality of the Rekognition Video APIs. In addition, heavy makeup and camouflage common for actors/actresses, can also affect the quality.
What is Text in Image?
Text in Image
Amazon Rekognition | Machine Learning
Text in Image is a capability of Amazon Rekognition that allows you to detect and recognize text within an image, such as street names, captions, product names, and vehicular license plates. Text in Image is specifically built to work with real-world images rather than document images. Amazon Rekognition’s DetectText API takes in an image and returns the text label and a bounding box for each detected string of characters, along with a confidence score. For example, in image sharing and social media applications, you can enable visual search based on an index of images that contain the same text labels. In media and entertainment applications, you can create text metadata for video frames to support search for relevant content, such as news, sport scores, commercials, and captions. In security and surveillance applications, you can identify vehicles based on license plate numbers from images taken by body cams or traffic cams.
What type of text does Amazon Rekognition Text in Image support?
Text in Image
Amazon Rekognition | Machine Learning
Text in Image is specifically built to work with real-world images rather than document images. It supports text in most Latin scripts and numbers embedded in a large variety of layouts, fonts and styles, and overlaid on background objects at various orientation as banners and posters. Text in Image recognizes up to 50 sequences of characters per the image and lists them as words and lines. Also, Text in Image recognizes only text horizontal with +/- 30 degrees orientation.
