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Home/Tasks/Sherloq
Sherloq logo

Sherloq

An open-source digital image forensic toolset for experimenting with image analysis algorithms.

Development
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Image AuthenticationForgery Detection
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About Sherloq

Sherloq is an open-source digital image forensics toolset designed for experimenting with various algorithms found in research papers and workshops. It provides an integrated environment for digital image forensics, aiming to be an extensible framework and a starting point for digital signal processing applications. The tool is built with a Qt-based GUI in Python (PySide2 + Matplotlib + OpenCV), emphasizing ease of development and deployment. Sherloq enables users to perform tasks such as file digest analysis, metadata extraction, image enhancement, noise analysis, and forgery detection using algorithms for copy-move forgery, composite splicing, and resampling detection. It also incorporates machine learning models for tasks like multiple compression detection.

Core Capabilities

Sherloq is an open-source digital image forensics toolset designed for experimenting with various algorithms found in research papers and workshops.

Main Tasks

Image Authentication

Explore all tools that specialize in image authentication. This domain focus ensures Sherloq delivers optimized results for this specific requirement.

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Forgery Detection

Explore all tools that specialize in forgery detection. This domain focus ensures Sherloq delivers optimized results for this specific requirement.

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Metadata Analysis

Explore all tools that specialize in metadata analysis. This domain focus ensures Sherloq delivers optimized results for this specific requirement.

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Noise Analysis

Explore all tools that specialize in noise analysis. This domain focus ensures Sherloq delivers optimized results for this specific requirement.

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File Analysis

Explore all tools that specialize in file analysis. This domain focus ensures Sherloq delivers optimized results for this specific requirement.

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Decision Summary

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General AI
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Web-first workflow
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Core Tasks

  • Image Authentication
  • Forgery Detection
  • Metadata Analysis
  • Noise Analysis
  • File Analysis

Target Personas

General AI

Categories

DevelopmentData & Ml

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