Object Detection
This article explains the training pipeline for fine tuning of the YOLOv7 object detection model on a custom pothole detection dataset
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
