WebNN Code Editor
Evaluate, review and modify WebNN sample codes interactively in web browser.
continuously update based on WebNN spec
Evaluate, review and modify WebNN sample codes interactively in web browser.
Classifying the major object in the image into a set of pre-defined classes.
Use LeNet to classify handwritten digits from the clasic MNIST example data set.
Applying the STARRY NIGHT and other painting styles of Van Gogh to your image.
A NSNet2 baseline implementation of deep learning-based noise suppression.
An RNNoise baseline implementation of deep learning-based noise suppression.
Detecting instances of semantic objects of a certain class in digital images and videos.
Partitioning image into semantically meaningful parts to classify each part into pre-determined class.
Detecting facial landmarks like eyes, nose, mouth, etc., which can be used for web-based try-on simulator of online store.
Detecting faces of participants using object detection and checking whether each face was present or not.