Articles tagged "Object Detection"

户外看护智能监测分析工具：用 Agent Skill 做户外区域目标检测与批量图片分析

2026-10-21 Big Model Skills 户外看护 Object Detection SkillHub it-ops-security Agent Skill

介绍 SkillHub 社区技能 Intelligent Outdoor Care Monitoring & Analysis Tool（@user_bb47e3e3/outdoor-monitoring-analysis，v1.0.8）。说明其在庭院、果园、养殖场等场景下检测人、车、非机动车与宠物，支持本地/URL 输入与批量图片分析，以及通过 scripts.outdoor_monitoring 查询云端历史报告。涵盖 SkillHub CLI 安装、Cursor/Claude/Codex skills 目录、典型命令行用法与格式/体积限制。

xby-smoking-detection: DSH Cigarette Object Detection Plugin

2026-10-06 DeepSeek Harness plugin DeepSeek DSH xby-smoking-detection Plugin Object Detection

The DSH xby-smoking-detection plugin is based on the XiaobenYang API and is designed to identify cigarette targets in images. It provides APIs for setting an API key and for three detection interfaces supporting URL, BASE64, and file path inputs. Users must first install the plugin and configure the API key, making it suitable for chat or workflow scenarios. Before use, obtain the API key by registering on the official XiaobenYang website, and also check the source code and license.

PP-YOLOE: A Target Detection Model Based on PaddlePaddle

2020-08-18 PaddlePaddle Deep Learning Deep Learning Artificial Intelligence PaddlePaddle Object Detection Computer Vision

This document provides a detailed introduction to how to implement the training, evaluation, export, and prediction processes of the object detection model PP-YOLOE using PaddlePaddle, along with various deployment methods including the Inference prediction interface, ONNX interface, and prediction on Android devices. Here is a summary of each part: ### 1. Training - **Single-card training**: Use `python train.py --model_type=M --num_classes=8

Notes on "My PaddlePaddle Learning Journey" - Custom Image Dataset for Object Detection

2018-02-27 PaddlePaddle My Journey of Learning PaddlePaddle PaddlePaddle Deep Learning Object Detection Custom Data end-to-end

From your notes, we can see that you have detailedly introduced the process of implementing object detection using PaddlePaddle. The following is a summary of the key points in the notes and some supplements: ### Overview of Object Detection Process 1. **Data Preprocessing**: The dataset is the Pascal VOC 2012 version, which includes a training dataset for license plate recognition. 2. **Model Training**: - Construct the VGG-16 network structure. - Define the Loss function and optimizer. 3. **Evaluation and Inference**: - Use the test

Notes on "My PaddlePaddle Learning Journey" – Implementing Object Detection Using the VOC Dataset

2018-02-23 PaddlePaddle My Journey of Learning PaddlePaddle PaddlePaddle Deep Learning Object Detection VOC2007 end-to-end

### Chapter 10: Implementing Object Detection with Custom Image Datasets In PaddlePaddle, we can not only quickly deploy object detection tasks using pre-trained models but also train our own specialized object detection models with custom datasets. This chapter will introduce how to perform object detection using PaddlePaddle. #### 1. Preparing the Environment Ensure that PaddlePaddle has been installed and that you are familiar with basic PaddlePaddle operations (including installation, configuration, etc.). You can check if it has been successfully installed using the following command.