# YOLOv8 Optimization

An object detection model based on YOLOv8 and YOLOv9, specifically designed for player detection in Counter-Strike 2.

YOLOv8 model specialized for detecting humans in thermal imaging, applicable to pseudo-color and grayscale thermal images

Object detection model based on YOLOv8x, specifically optimized for the VisDrone dataset captured by drones

Object detection model based on YOLOv8n, specifically optimized for drone vision data (VisDrone dataset)

An object detection model based on YOLOv8s, specifically designed to detect helmets and head positions in American football games.

An object detection model based on YOLOv8s, specifically designed for detecting protective equipment such as gloves, goggles, helmets, etc.

Aircraft object detection model based on YOLOv8s, optimized for aircraft recognition tasks.

A table detection model based on YOLOv8, capable of identifying table regions in documents, supporting both bordered and borderless table types.

An object detection model based on YOLOv8n, specifically designed to detect players and their head positions in CS:GO.

An object detection model based on YOLOv8, specifically designed to detect key objects in the game 'Valorant'.

An object detection model based on YOLOv8s, specifically designed for detecting forklifts and personnel