Take advantage of machine learning features designed for immediate app integration, with no machine learning experience needed.
Build features that can process and analyze images and video using computer vision.
Automatically identify the content in images.
Quantify and visualize the key part of an image or where in the image people are likely to look.
Analyze and manage the alignment of images.
Generate a feature print to compute distance between images.
Find and label objects in images.
Track moving objects in video.
Detect the trajectory of objects in motion in video.
Trace the edges of objects and features in images and video.
Detect regions of visible text in images.
Find, recognize, and extract text from images.
Detect human faces in images.
Track faces from a camera feed in real time.
Find facial features in images by detecting landmarks on faces.
Compare face capture quality in a set of images.
Find regions that contain human bodies in images.
Detect landmarks on people in images and video.
Detect landmarks on human hands in images and video.
Find cats and dogs in images.
Detect and analyze barcodes in images.
Find rectangular regions in images.
Determine the horizon angle in images.
Analyze the pattern of motion of objects between consecutive video frames.
Produce a matte image for a person in an image.
Detect rectangular regions in images that contain text.
Analyze natural language text and deduce its language-specific metadata.
Enumerate the words in text strings.
Recognize the language of bodies of text.
Use a linguistic tagger to name entities in a string.
Classify nouns, verbs, adjectives, and other parts of speech in a string.
Get a vector representation for any word and find similarity between two words or nearest neighbors for a word.
Get a vector representation for any string and find similarity between two strings.
Score text as positive, negative, or neutral based on the sentiment.