Archives for faster-rcnn
Object detection is the process of classifying and locating objects in an image using a deep learning model. Object detection is a crucial task in autonomous Computer Vision applications such as Robot Navigation, Self-driving Vehicles, Sports Analytics and Virtual Reality. Locating objects is done mostly with bounding boxes. Instance segmentation masks and key points are…
The post Getting Started With Object Detection Using TensorFlow appeared first on Analytics India Magazine.
Facebook's D2Go with in-built Detectron2 is the state-of-the-art toolkit for training & deployment of computer vision models on mobile devices
The post How Facebook’s D2Go Brings Detectron2 To Mobile appeared first on Analytics India Magazine.
MMDetection is a Python toolbox built as a codebase exclusively for object detection and instance segmentation tasks
The post Guide to MMDetection: An Object Detection Python Toolbox appeared first on Analytics India Magazine.
PP-YOLO is a deep learning framework to detect objects. This framework is based on YOLO4 architecture. This method was published in the form of a Research paper titled as PP-YOLO: An Effective and Efficient Implementation of Object Detector by the researchers of Baidu : Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan…
The post Guide To PP-YOLO: An Effective And Efficient Implementation Of Object Detector appeared first on Analytics India Magazine.
PP-YOLO is a deep learning framework to detect objects. This framework is based on YOLO4 architecture. This method was published in the form of a Research paper titled as PP-YOLO: An Effective and Efficient Implementation of Object Detector by the researchers of Baidu : Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan…
The post Guide To PP-YOLO: An Effective And Efficient Implementation Of Object Detector appeared first on Analytics India Magazine.