# Real-time detection

A binary text classification model for detecting AI-generated content in Reddit comments, supporting real-time detection in browser extensions.

D-FINE is a model for object detection that achieves excellent positioning accuracy by redefining the bounding box regression task in the DETR model.

This is an object detection model released under the Apache-2.0 license, designed to identify and locate specific objects within images.

Small YOLO v10 model developed by FRC 578 team for teaching demonstrations, showcasing object detection model principles

An object detection model implemented based on PyTorch, used for identifying and localizing objects in images.

A PyTorch-based image classification model for detecting anomalies in images.

DETR is an end-to-end object detection model based on Transformer architecture, using ResNet-50 as the backbone network and trained on the COCO dataset.