A lot of companies overlook the key benefits of complete workflow application. Usually, workflow programs focus on a single part of document generation. You can find far better choices for many sectors which need a versatile approach to their tasks, like IOU preparation. Yet, it is achievable to get a holistic and multifunctional solution that may cover all your needs and requirements. For example, DocHub is your number-one option for simplified workflows, document generation, and approval.
With DocHub, you can easily make documents from scratch having an vast list of tools and features. You can quickly finish result in IOU, add feedback and sticky notes, and keep track of your document’s progress from start to end. Quickly rotate and reorganize, and blend PDF files and work with any available format. Forget about looking for third-party platforms to cover the standard requirements of document generation and use DocHub.
Acquire total control of your forms and documents at any moment and create reusable IOU Templates for the most used documents. Take full advantage of our Templates to prevent making common mistakes with copying and pasting exactly the same info and save your time on this cumbersome task.
Improve all of your document operations with DocHub without breaking a sweat. Discover all opportunities and functions for IOU administration today. Start your free DocHub account today with no concealed fees or commitment.
[Music] hello welcome to a lightboard series in this video we are going to do image segmentation and the loss functions for it so lets see what is image segmentation its one of the most fundamental problems in computer vision but its basically the same as classification problem which means trying to determine the class of pixels so let me demonstrate what we want to do so given an image we have to we wanted to determine or detect an object inside lets say we want to detect an animal lets say it looks like a cat and we want to detect this animal but the problem is usually the image is very high-dimensional it has like around ten thousand three pixels and we want to classify each pixel in this image we want to classify whether it is a background pixel or if its a foreground pixel foreground pixels are the pixels belonging to the class we are trying to detect so by nature usually these problems are highly unbalanced so these classification problems are unbalanced because most of th