The first step is to choose the right model for your object detection problem. There are many models available, such as Faster R-CNN, YOLO, SSD, and RetinaNet, each with different strengths and ...

ANN model accuracy and robustness for object detection can be assessed using precision, recall, F1-score, mean average precision, intersection over union (IoU), and average IoU.

Abstract: In this paper we propose an improvement to the implicit shape model (ISM) based robust object detection system proposed by Leibe et al. Object detection with ISM allows to approach the ...

The application of computer vision in power line inspection has made some progress. However, the complexity of power line inspection images also brings some difficulties and challenges to this field.

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications. By Markus Kasanmascheff March ...

This repository contains code to instantiate and deploy an object detection model. This model recognizes the objects present in an image from the 80 different high-level classes of objects in the COCO ...

Meta unveils AI model for object detection and largest dataset of its kind. According to a recent blog post by Meta's research division, the company has developed an advanced object recognition ...