YOLO (Part 4) Reduce detected classes
by In this article we will see a trick that reduces the scope of object detection using YOLO v4.
Category: Object detection with YOLO
YOLO (Part 3) Non Maxima Suppression (NMS)
In my previous articles on YOLO we saw how to use this network … but when we apply this algorithm on complex images we quickly see that multiple detections are made for the same objects. We will see in this article how to remove these duplicate frames with the so-called NMS technique.
YOLO (Part 2) Object detection with YOLO & OpenCV
In this article we will see step by step how to use the YOLO neural network with its implementation in OpenCV. Follow the guide š
YOLO (Part 1) Introduction with Darknet
We will see in this article, how with the YOLO neural network we can very simply detect several objects in a photo. The objective is not to go into the details of the implementation of this neural network (much more complex than a simple sequential CNN) but rather to show how to use the implementation which was carried out in C ++ and which is called Darknet.
