ldqk/ImageSearch
基于.NET10的本地硬盘千万级图库以图搜图案例Demo和图片exif信息移除小工具分享 observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 91
- Release rhythm 92
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 5.0
- age_days: 1524
- days_rel: 57
- days_push: 57
- n_releases_24m: 27
Adoption not part of the score
1329 stars · 148 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A .NET 10 desktop demo application that performs reverse image search (search by image) over local hard drives with tens of millions of images, achieving second-level retrieval. It also includes a small utility for removing EXIF metadata from images.
Use cases
- find similar images on my local hard drive
- reverse image search across millions of local photos
- find duplicate or near-duplicate images on disk
- remove exif metadata from photos before sharing
- search my image library by uploading a sample image
When to choose
- you need fast similarity search over a very large local image collection on Windows
- you want a simple offline tool without cloud services
- you also need a quick EXIF-stripping utility
When to avoid
- you need web-scale or server-side image search
- you need semantic/conceptual image search rather than visual similarity
- you are not on Windows or cannot install the .NET 10 desktop runtime
Facets
application · maturity active
image-processing search-engine computer-vision image-processing desktop-applications windows dotnet reverse-image-search exif-removal perceptual-hash local-file-search everything-integration search desktop
1 source
- readme: https://github.com/ldqk/ImageSearch · fetched 2026-08-28 · 966bfc9a2d38
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ldqk/ImageSearch | main | 93 |
For agents
markdown · JSON · MCP: product_card(name="ldqk/ImageSearch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem