YOLO is a Convolutional Neural Network (CNN), a type of deep neural network, for performing object detection in real-time. CNNs are classifier-based systems that process inp… See more

The YOLOv3 algorithm first separates an image into a grid. Each grid cell predicts some number of bounding boxes (sometimes referred to as anchor boxes) around obj… See more

There are major differences between YOLOv3 and older versions that occur in terms of speed, precision, and specificity of classes. YOLOv2 and YOLOv3 are worlds apart regar… See more

The YOLOv3 AP does indicate a trade-off between speed and accuracy for using YOLO when compared to RetinaNet since RetinaNet training time is greaterthan YOLOv3. H… See more

The YOLOv3 installation, including pre-trained models, is relatively straightforward. First, it is necessary to install some dependencies and libraries. YOLOv3 can be installe… See more