Introducing the YOLOv8 Web UI
Introducing the new YOLOv8 Web UI – image labeling, training, and inference in a single GUI.
How to Train YOLO v5 on a Custom Dataset | the cloud provider
Learn how to train YOLOv5 on a custom dataset with this step-by-step guide. Discover data preparation, model training, hyperparameter tuning, and best practices for object detection.
Data Augmentation for Bounding Boxes: Rotation and Shearing
This article will cover how to implement rotation and shear images and bounding boxes using OpenCV’s affine transformation features.
Introduction to DETR – Part 1
DETR introduces a completely new architecture, setting a new standard in the object detection field. In this article, we explore the Detection Transformer (DETR) concept, highlighting its groundbreaking approach and the significant advancements it brings to object detection technology.
Step-by-step instructions for training YOLOv7 on a Custom Dataset
Follow these step-by-step instructions to learn how to train YOLOv7 on custom datasets, and then test it with our sample demo on detecting objects with the Road Sign Detection dataset with Gradient’s Free GPU Notebooks
Why Data Augmentation Is Key for Vision, Language, and Audio AI
Explore data augmentation techniques that improve accuracy, robustness, and generalization in vision, language, and audio models.
Introduction to DETR – Part 2: The Crucial Role of the Hungarian Algorithm
In part 2 of this tutorial series, we look at DETR’s Hungarian Algorithm in depth to show how it minimizes cost.
Transpose Convolution Explained for Up-Sampling Images
URL: https://www.progressiverobot.com/transpose-convolution/ Introduction Convolutional neural networks need no introduction when it comes to image processing using Deep Neural Networks (DNNs). CNNs provide a more realistic way to extract and learn features from an image, while helping reduce the image dimension. But what if we want the opposite? Suppose you want to perform some image-to-image mapping, […]
A Guide to the DataLoader Class and Abstractions in PyTorch
We will explore one of the biggest problems in the fields of Machine Learning and Deep Learning: the struggle of loading and handling different types of data.
Visual Question Answering: a Survey
URL: https://www.progressiverobot.com/introduction-to-visual-question-answering/ We've seen a lot of advancements in the last few years in many subdomains of machine learning. Computer vision tasks like object detection and image segmentation, as well as NLP tasks like entity recognition, language generation, and question answering, are now being solved by neural networks and approached much differently, with more speed […]
