CS230 Project

Downwell AI

Object Detection

Downwell AI Computer Vision Project

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Here are a few use cases for this project:

  1. Game Development & Analysis: Developers could use the Downwell AI to analyze a gameplay, identifying and tracking all the classes throughout the game and examining players' responses, movement, and interaction with various game elements.

  2. Automated Gameplay Commentary: The Downwell AI model could be used in a live game streaming or broadcasting setting to provide real-time commentary or analysis about the ongoing game events, player movements, and other various interactions by identifying the components in the game.

  3. Player Training & Assistance: The Downwell AI could be leveraged to create an interactive guide or gaming assistant. It can observe the gameplay, identify the game elements, and suggest the next promising move or highlight potential threats based on the model's understanding of the game dynamics from previous playthroughs.

  4. Behavior Analysis & Enhancement: The model could be employed for understanding player behavior and preferences by analyzing their interaction with different game elements. The gathered insight could inform game design decisions, improve engagement mechanisms, and enhance overall player experience.

  5. Debugging & Quality Assurance: In a game development scenario, the Downwell AI can be incredibly useful for automated testing and quality assurance. It can be run through the game's various stages to identify any inconsistency, glitches, or abnormalities by recognizing each game component and its expected behavior.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            downwell-ai_dataset,
                            title = { Downwell AI Dataset },
                            type = { Open Source Dataset },
                            author = { CS230 Project },
                            howpublished = { \url{ https://universe.roboflow.com/cs230-project/downwell-ai } },
                            url = { https://universe.roboflow.com/cs230-project/downwell-ai },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-02-26 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Downwell AI project in your project.

Source

CS230 Project

Last Updated

a year ago

Project Type

Object Detection

Subject

Movement-Inputs

Classes

Air Air Chest Apple Bat Battery Battle Drone Big Skull Not Hit Blast Blast Module Bone Boss Boss Projectile Boss Top Bounceable Object Breakable Block Bullet Candle Car Battery Cat Circle Stuff Crawler Cue To Skip Damage Zone Drone Drone Bullet Energy Drink Eye Frog Full Combo Bonus Gem Attractor Gem Deposit Gem Powered Gem Sick Ghost Gunpowder Blocks Gunpowder Bullet Heart Balloon Hot Casing Jellyfish Jetpack Knife and Fork Laser Sight Level Exit Membership Card Module Phantom Piranha Platform Player Player With Cat Popping Gems Pot Rest In Pieces Reverse Engineering Riceball Rocket Jump Shop Arrow Shopkeeper Shotgun Spray Skeleton Skull Slime Snail Spiked Blocks Squid Stuff Sushi Timeout Torch Turtle Unbreakable Block Upgrade Screen Void Youth

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License

CC BY 4.0