Doom-Enemy-Detection Computer Vision Project

DoomRLAgent

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Description

DOOM 1 Enemy Detection - Object Detection Dataset Overview

Project Overview:

This project presents a proof of concept for object detection in the classic video game DOOM (1993). The dataset specifically focuses on labeling and identifying most of the enemies that a player encounters throughout the game. The primary goal is to demonstrate the viability of machine learning models in detecting specific enemy types in a pixelated, retro gaming environment, with the potential for future expansion and applications.

Objective:

The dataset is designed to enable object detection models to recognize and distinguish between different types of enemies in DOOM 1. By successfully identifying and labeling these enemies, this project serves as an initial exploration into using computer vision techniques for gaming AI, modding, and automated gameplay analysis.

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            doom-enemy-detection_dataset,
                            title = { Doom-Enemy-Detection Dataset },
                            type = { Open Source Dataset },
                            author = { DoomRLAgent },
                            howpublished = { \url{ https://universe.roboflow.com/doomrlagent/doom-enemy-detection } },
                            url = { https://universe.roboflow.com/doomrlagent/doom-enemy-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-22 },
                            }