Working with paperwork can be a challenge. Each format has its peculiarities, which often results in complex workarounds or reliance on unknown software downloads to avoid them. The good news is, there’s a solution that will make this task more enjoyable and less risky.
DocHub is a super straightforward yet comprehensive document editing solution. It has different features that help you shave minutes off the editing process, and the option to Supervise Object For Free is only a small part of DocHub’s functionality.
No matter if if you need a one-off edit or to edit a huge document, our solution can help you Supervise Object For Free and make any other desired improvements easily. Editing, annotating, certifying and commenting and collaborating on documents is easy utilizing DocHub. We support various file formats - choose the one that will make your editing even more frictionless. Try our editor for free today!
hi everyone welcome to weekly supervised learning and computer vision tutorial and the organizers are rodrigo benonson from google zurich and seong jun oh from navier and myself hack hambulum from university of edinburgh so we live in exciting times for computer vision researchers in the recent years we have achieved quite remarkable progress in multiple computer vision tasks so perhaps one of the well-known tasks such task is image classification in the imagenet ils vrc challenge where multiple methods have shown to outperform human level performance in the recent years so um we can we can say that um the the recent progress urge or maybe we can say the main driving forces for the recent progress are deep learning and um large-scale labeled data sets such as imagenets and the researchers have seen this trend and came up with more detailed annotations so we have image networks lots of image level labels and boxes we also have a mescal core open images status capes with more detailed a