Pixel-perfect polygon
masks generated via an
any-object
neural network.
Outline the contour or silhouette of an object.
Apply boxes to objects in images.
Defines a point, visible or
abstract, on an object.
A 3D rectangular prism
with 6 degrees of freedom.
Used to define the direction an object
is moving in or to learn the orientation of an object
Used for training
classifiers - reliable and quickest
form of image recognition.
Add text of arbitrary
length to this object.
Enables character recognition.
Each label applied and reviewed by a human contributes to a periodic learning of automation models.
Annotators have limited viewing rights and cannot download images. You retain the rights to all image data too.
Annotation follows a pipeline where images are marked for review before they are complete.Â
Seamlessly integrate labelled data into your workflow. We can export data to your favourite frameworks such as Pytorch, Keras, and Tensorflow.
Book an initial no-obligation consultation free of charge to see if Yuva AI can help your business. Drop us a line below with your availability to discuss further. Or feel free to ask any other questions you may have.Â
Address : 200 Adelaide St, Brisbane City QLD 4000, Australia
Phone:+61 424 466 454
Email: yash@yuva.ai