Horror Object Detector

Custom YOLO11n object detection model for the AI Horror Game.

Classes

The model detects 8 object classes:

  • chair
  • bottle
  • table
  • book
  • box
  • lamp
  • door
  • window

Training

This model was fine-tuned from pretrained YOLO11n weights using a custom Open Images based dataset.

Input

An image containing game-environment objects.

Output

The model detects objects and their bounding boxes. The game API converts the detections into object counts.

Example:

{
  "objects": {
    "chair": 4,
    "bottle": 2,
    "table": 1,
    "book": 0,
    "box": 1,
    "lamp": 2,
    "door": 1,
    "window": 3
  }
}
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