Educational Implementation

face-lock-prompts

karims@karims · Atlas 67.7 · #7= builder

What it is

This repository provides a collection of markdown prompt templates and explanatory notes designed to reduce face/identity drift in AI image generation by separating identity constraints from style instructions and using negative prompts.

Scored from the code at its last scan, 24 Oct 2026. How merit is scored

Where it counts

Computer Vision80%
Machine Learning35%
NLP & LLMs15%
Data Science10%
AI Agents5%
MLOps5%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Computer Vision board

Whole board

RankProjectBuilderFieldMerit

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06background-subtractionEducational Implementation · Jupyter NotebookThe repository provides a Jupyter notebook that demonstrates and compares three OpenCV background subtraction algorithms (MOG, MOG2, GMG) on a sample surveillance video, accompanied by explanatory text in the README.42.1/100ImplementationPop AlexandruComputer Vision
07face-lock-promptsEducational Implementation41.1/100ImplementationkarimsComputer Vision
08Multi-Task-RailML Application · Jupyter NotebookThis repository provides a Jupyter notebook implementing a multi-task model for railway signal detection (using GERALD dataset) and scene segmentation (using RailSem19 dataset) with a shared ResNet50-FPN backbone and task-specific heads. The code includes data loaders, model…40.1/100ImplementationSuceveanu Mircea Dan SanduComputer Vision
09the-land-of-wolves-redm-visualsEducational Implementation · LuaThe Land of Wolves RedM Visual Effects System is a server-side visual pack for RedM that provides configuration files and documentation to apply advanced visual effects such as timecycle modifiers, weather, water, terrain, and vegetation settings.37.6/100ExplorationMaster MindComputer Vision

What it is

Where it counts

Around it on the Computer Vision board

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