# 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

Repository: https://github.com/ldqk/ImageSearch
Canonical: https://ross.abutalabs.com/products/imagesearch
Language: C#
License: MIT
License Family: permissive
Topics: image-search, image-search-engine
Last push: 2026-07-07T07:55:45+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 92, longevity 100
- inputs: {"age_days": 1524, "days_push": 57, "days_rel": 57, "gap_med": 5.0, "n_releases_24m": 27}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1329, forks 148 (observed 2026-08-28T04:04:23.850384+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: image-processing, search-engine, computer-vision
- domain: image-processing, desktop-applications
- platform: windows, dotnet
- tags: reverse-image-search, exif-removal, perceptual-hash, local-file-search, everything-integration, search, desktop

## Member repositories
- ldqk/ImageSearch (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:23.850384+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:45:39.939865+00:00, confidence not recorded.
  - readme: https://github.com/ldqk/ImageSearch (fetched 2026-08-28T04:04:23.850384+00:00, sha 966bfc9a2d38)
- Data as of 2026-08-30T08:39:29.467469+00:00.