[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-80497":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":16,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":17,"rankGlobal":10,"rankLanguage":10,"license":18,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":21,"hasPages":19,"topics":22,"createdAt":10,"pushedAt":10,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":16,"starSnapshotCount":16,"syncStatus":14,"lastSyncTime":26,"discoverSource":27},80497,"penny-black-stamp-ai","saleem-shaik-git\u002Fpenny-black-stamp-ai","saleem-shaik-git","AI-based image recognition system for identifying Penny Black stamp plate numbers","",null,"Go",52,51,2,1,0,5.15,"Apache License 2.0",false,"main",true,[],"2026-06-12 02:04:03","Author: Saleem Shaik\nRole: Founder & Technical Lead\nProject Start: November 2024\n\nOverview\nThis repository documents the technical design and AI approach for an image recognition system intended to identify Penny Black stamp plate numbers (1–11).\n\nThe project addresses a long-standing challenge in philately caused by worn postmarks and visual degradation of historic stamps.\n\nMy Role\nI conceived the idea and designed the AI-based approach for plate identification. My responsibilities include defining the machine learning strategy, data preprocessing techniques, and evaluation methodology.\n\nInnovation\nThe innovation lies in applying modern image recognition techniques to a historical artefact domain where training data is limited and image quality is highly variable.\n\nProject Status\nThis project is in the research and pre-implementation phase.\n\n","该项目是一个基于AI的图像识别系统，专门用于识别Penny Black邮票的版号（1-11）。核心功能包括使用现代图像识别技术处理历史邮票上因磨损和视觉退化导致的问题，通过机器学习策略、数据预处理技术和评估方法来提高识别准确率。项目采用Go语言开发，并在有限且质量参差不齐的训练数据条件下实现了创新应用。适用于需要对历史邮票进行高精度分类与鉴定的情景，如集邮爱好者的研究或拍卖行的专业鉴定等场合。","2026-06-11 04:00:59","CREATED_QUERY"]