# High-Precision Object Detection

A YOLOv8s fine-tuned model specialized for locating signatures in document images

Russian license plate detection model based on the RT-DETR architecture, supporting classification and recognition of regular and police license plates

A remote sensing object detection model based on the RT-DETR architecture, specifically designed for roof detection in satellite images.

Florence-2 is an advanced vision foundation model developed by Microsoft, employing a prompt-based approach to handle a wide range of vision and vision-language tasks.

A fine-tuned model based on DETR-ResNet50 architecture for document element detection tasks

A YOLOv8m-based hard hat detection model for identifying whether safety helmets are worn in images.

An object detection model based on YOLOv8m, specifically designed to identify and classify platelets, red blood cells, and white blood cells in blood samples.

A blood cell detection model based on YOLOv8s, capable of identifying platelets, red blood cells, and white blood cells.

A blood cell object detection model based on YOLOv8n, capable of identifying platelets, red blood cells, and white blood cells.

An object detection model based on YOLOv8, specifically designed to detect players and their head positions in CSGO.

YOLOv5s-based blood cell object detection model, optimized for blood cell recognition tasks