Author: cristi_v_admin

LLMs are quite powerful and can solve a wide range of problems! Employing them is easy but assessing their performance in production is still a hard problem. An overconfident model can ruin your business faster than a low performer. Read on for an approach. Live demo!!!

Data augmentation is a technique used to increase the diversity of data available for training models. Until recently, managing both mask and bounding box augmentations simultaneously with the same parameters was challenging in torchvision. Starting with v0.15 torchvision added more streamlined and flexible augmentation capabilities that are easier to use and more consistent with the…

Take a closer look at the step-by-step breakdown of Mask R-CNN to make it easier to understand how it works. This guide will help you navigate its implementation in torchvision, making the complex process more accessible and straightforward.