# Real-time Monitoring

An object detection model based on YOLOv11, specifically designed for fall detection

A YOLOv11-based object detection model, specifically designed for fall detection tasks.

A RoBERTa-based text classification model for detecting toxic prompts and responses in dialogue systems

Traffic scene object detection model based on DETR architecture, fine-tuned from facebook/detr-resnet-50

An object detection model based on YOLOv8m, specifically designed for smoke detection with high accuracy.

Open Railway is an open model or dataset related to railways; its specific functions and uses require further confirmation.

Driver fatigue detection model based on ViT architecture, fine-tuned on the UTA RLDD dataset with an accuracy of 97.5%

Open Rail is an open model focused on the railway sector, aiming to provide railway-related data, tools, and solutions.

A classification model for detecting the authenticity of Korean news, capable of identifying false or misleading content

A lightweight smoke object detection model based on YOLOv5n, optimized for smoke recognition tasks

This is an image classification model built with PyTorch and HuggingPics, specifically designed to distinguish between closed and open eye images.

A small-scale Vision Transformer model based on YOLOS architecture, fine-tuned specifically for mask detection tasks, trained on COCO and mask detection datasets