Hollow Knight vs Master Grimm

This dataset features approximately 500 annotated images from the Troupe Master Grimm boss fight in the popular game Hollow Knight. It includes annotations across 11 unique classes, making it an excellent resource for developing AI models for game analysis, action recognition, and computer vision research.

Key Features

✅ Comprehensive Class Annotations:
The dataset includes the following 11 classes:

• Dash Uppercut
• Dive Dash
• Fire Bat
• Fireball
• Grimm
• Open Cloak
• Player
• Pufferfish
• Spikes
• Staggered Grimm
• Tiny Fireballs

✅ High-Quality Images:

• Approximately 500 images captured during gameplay.
• Collected using OpenCV for accurate frame-by-frame capture.

✅ Detailed Annotations:

• All images are annotated using RoboFlow, ensuring precise labeling of each action and entity.

Applications

• Game Analytics: Develop AI models to analyze player and boss actions.
• Action Recognition: Train neural networks to identify specific in-game actions and mechanics.
• Computer Vision Research: Experiment with image segmentation and object detection in dynamic environments.
• AI in Gaming: Build AI models for gameplay prediction, analysis, or assistance.

This dataset is sourced from Kaggle.