# High-Precision Detection

A Solidity smart contract vulnerability detection model fine-tuned based on CodeBERT-base

YOLOv10x is the latest version of the YOLO series, focusing on real-time end-to-end object detection, offering higher detection accuracy and faster inference speed.

YOLOv10 is a real-time end-to-end object detection model developed by the Tsinghua University team, based on the latest improved version of the YOLO series.

YOLOv10 is a real-time end-to-end object detection model developed by the Tsinghua University team, representing the latest improvement in the YOLO series.

YOLOv10 is a real-time end-to-end object detection model proposed by Tsinghua University, known for its efficiency and accuracy.

YOLOv10 is a real-time end-to-end object detection model proposed by Tsinghua University, known for its efficiency and accuracy.

A brain tumor detection model based on the Swin Transformer architecture, achieving 98.04% accuracy in image classification tasks

Deformable DETR is an object detection model based on Transformer architecture, trained on the LVIS dataset, supporting detection of 1203 object categories.