Downwell AI Computer Vision Project

CS230 Project

Updated 2 years ago

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Classes (74)
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

Metrics

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Description

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.

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Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-12-22 },
                            }
                        
                    

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