Object Detection
Mean Average Precision mAP is a performance metric used for evaluating machine learning models We have covered mAP evaluation in detail to clear all your confusions regarding model evaluation metrics
A technical review of YOLOv7 paper along with inference report YOLOv7 Pose detection code included
In this blog post we will be training YOLOv4 models on a custom pothole detection dataset using the Darknet framework and carry out inference using the trained models
Intersection Over Union IoU is a number that quantifies degree of overlap between two boxes In object detection and segmentation it is a helper metric for evaluating models Continue reading
This blog post covers object detection training of the YOLOv5 model on a custom dataset using the small and medium YOLOv5 models
Object detection using YOLOv5 and OpenCV DNN Learn how to YOLOv5 Ultralytics Github repository From plethora of YOLO versions which one is most appropriate for you Continue reading the article
