[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-93177":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":8,"htmlUrl":8,"language":9,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":12,"openIssues":12,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":13,"stars7d":13,"stars30d":13,"stars90d":13,"forks30d":13,"starsTrendScore":13,"compositeScore":14,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":15,"fork":15,"defaultBranch":16,"hasWiki":17,"hasPages":15,"topics":18,"createdAt":8,"pushedAt":8,"updatedAt":19,"readmeContent":20,"aiSummary":21,"trendingCount":13,"starSnapshotCount":13,"syncStatus":22,"lastSyncTime":23,"discoverSource":24},93177,"YOLO_Projects","Nawaf-Rayhan585\u002FYOLO_Projects","Nawaf-Rayhan585",null,"Python",51,18,1,0,37.84,false,"main",true,[],"2026-07-22 04:02:08","\n# Made with ❤️ by Nawaf Rayhan\n# please give a ⭐ to the repository if you found it useful!\n","这是一个基于YOLO系列模型的目标检测实践项目集合，涵盖YOLOv5、YOLOv8等主流版本的训练、推理与部署示例。项目提供完整的数据预处理、模型训练脚本、可视化评估工具及轻量化导出支持（如ONNX），强调开箱即用的工程实践流程。适用于计算机视觉初学者学习目标检测技术原理与实现，也适合中小规模工业场景（如安防监控、缺陷识别、智能零售）中快速验证和迭代检测模型。代码以Python为主，依赖清晰，结构模块化，便于二次开发与任务适配。",2,"2026-07-12 02:30:07","CREATED_QUERY"]