Small object detection refers to the task of identifying and localizing objects that are relatively small in size within digital images. These objects typically have limited spatial extent and low pixel coverage and may be challenging to detect due to their small appearance and low signal-to-noise ratio. Applications of Small Object Detection There are multiple […] The post Exploring SAHI: Slicing Aided Hyper Inference for Small Object Detection first appeared on LearnOpenCV ..read more

This article focuses on the comprehensive examination of existing face recognition models, toolkits, datasets and FR pipelines. From early Eigen faces and Fisher face methods to advanced deep learning techniques, these models have progressively refined the art of identifying individuals from digital imagery. We’ll dissect these fascinating models, shedding light on their unique attributes, strengths, […] The post Advancements in Face Recognition Models, Toolkit and Datasets first appeared on LearnOpenCV ..read more

In this article, we train the YOLO NAS model on a custom dataset, evaluate it and run inference using the trained model. The post Train YOLO NAS on Custom Dataset first appeared on LearnOpenCV ..read more

In this article, we explore how to train the YOLOv8 instance segmentation models on custom data. The post Train YOLOv8 Instance Segmentation on Custom Data first appeared on LearnOpenCV ..read more

YOLO-NAS is the new real-time SOTA object detection model. YOLO-NAS models outperform YOLOv7, YOLOv8 & YOLOv6 3.0 models in terms of mAP and inference latency. The post Meet YOLO-NAS: New YOLO Object Detection Model Beats YOLOv6 & YOLOv8 first appeared on LearnOpenCV ..read more

This article explores the Segment Anything mode, a foundation model for image segmentation trained on 1.1 billion masks. The post Segment Anything – A Foundation Model for Image Segmentation first appeared on LearnOpenCV ..read more

The backbone of every computer vision application is the data used. The quality of data determines how good the final application will perform. It is needless to say that sometimes we need to collect and annotate the data ourselves to create the best computer vision application. In this regard, CVAT annotation tool is one of […] The post A Closer Look at CVAT: Perfecting Your Annotations first appeared on LearnOpenCV ..read more

In this article, we explore the ControlNet models for image generation which give uses more ControlNet while generating images for a particular pose or style. The post ControlNet – Achieving Superior Image Generation Results first appeared on LearnOpenCV ..read more

In this post, we will learn how to perform object detection using pre-trained models available in TensorFlow Hub. TensorFlow Hub is a library and platform designed for sharing, discovering, and reusing pre-trained machine learning models. The primary goal of TensorFlow Hub is to simplify the process of reusing existing models, thereby promoting collaboration, reducing redundant […] The post Object Detection Made Easy with TensorFlow Hub: Step-by-Step Tutorial first appeared on LearnOpenCV ..read more

In this post, we will learn how to perform semantic image segmentation using pre-trained models available in TensorFlow Hub. TensorFlow Hub is a library and platform designed for sharing, discovering, and reusing pre-trained machine learning models. The primary goal of TensorFlow Hub is to simplify the process of reusing existing models, thereby promoting collaboration, reducing redundant […] The post A Step-by-Step Tutorial on Image Segmentation using Tensorflow Hub first appeared on LearnOpenCV ..read more