YOLO
In this article we explore the YOLOv5 instance segmentation architecture and run inference on several videos and images
YOLOR inspired by how humans combine knowledge is an object detection model that pushes the boundaries of real time detection with improved speed accuracy
This article explains several performance comparison between different YOLO object detection models These include YOLOv5 YOLOv6 and YOLOv7
In this article we train the YOLOv6 Nano Small and Large models on a custom Underwater Trash Detection dataset and compare the results with YOLOv5 and YOLOv7
YOLOv7 Pose is a real time multi person keypoint detection model capable of giving highly accurate pose estimation results
In this blog post we review the YOLOv6 paper carry out inference using the YOLOv6 models and also compare YOLOv6 with YOLOv5