Lucari053/osu-CheatDetector-v0.1

Osu! Standard Cheat Detector (Transformer-based Classifier)

This repository contains the weights for the osu! standard anti-cheat classifier, trained to detect human-like and blatent cheats in '.osr' replays.

It uses a Cross-Attention Transformer architecture to analyze hit-objects and replay frame kinematics.

🌟 Key Features

• Multi-Cheat Detector: Trained to detect Aim Assist, Aim Correction, Relax and Human Autobot

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📊 Model Performance

The 'best.pt' model achived the following performance metrics on the validation dataset:

• Precision: 97.3% to 100.0% (Extremely low to zero false positive rate)
• Recall: 72.0% to 76.0% (Catches the vast majority of subtle aim assists and humanized relax cheats.)
• F1-Score: 82.8%
• Accuracy: 85.0%

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🏗️ Model Architecture

The classifier works by matching sliding context windows of beatmap hit-objects with replay cursor frames:

1. Window Encoder: Comapre a window of $10$ beatmap objects against a window of $20$ replay frames using self-attention and cross-attention blocks.
2. Sequence Aggregator: Aggregates local window embeddings across the entire beatmap.
3. Classification Head: Output logit for binary classification (0 = Legit, 1 = Cheated).

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🚀 Usage

For inference code, installation instructions, and training scripts, please refer to the GitHub repository:

👉 GitHub: Lucari053/OsuAntiCheatAI

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🏋🏻 Dataset & Training Details

• The used for training and validation was auto-generated with this script
• The config used can be found in this repo.