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Datasets:
boboyes
/
leagueoflegends-minimap

Tasks:
Object Detection
Modalities:
Image
Text
Formats:
text
Languages:
English
Size:
10K - 100K
Tags:
league-of-legends
gaming
Synthetic
yolo
esports
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
Community
1
Dataset Viewer
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League of Legends Synthetic Minimap Dataset (Sample)

⚠️ Dataset Note

This repository contains a small sample (100 images) of the synthetic dataset.

To generate the full image dataset of any size used for training high-performance models, please use the generator script available in my GitHub repository:

👉 [my_github]

Dataset Description

This dataset consists of synthetically generated League of Legends minimap images designed for training object detection models (specifically YOLO). It utilizes a complex rendering pipeline to simulate various game states, vision conditions, and champion positions.

Key Features

  • Fog of War Simulation: Randomly generated fog masks to simulate limited vision.
  • Map Objects: Dynamic placement of Towers, Inhibitors, Nexus, Jungle Monsters, and Baron/Dragon.
  • Game Effects: Simulates Recall (Blue/Red), Teleport, Ping waves, and other artifacts to mimic noisy real-world gameplay.
  • Observer Viewport: Generates a white "camera" rectangle simulating the observer mode.
  • Augmentations:
    • JPEG Compression Noise: Enabled by default to mimic stream artifacts.
    • Icon Overlap: Champions can cluster together (simulating teamfights).
    • Background/Icon Augments: Blur, downscaling, and color distortion options.

File Structure

  • train/, val/, test/: Image splits.
  • labels/: Standard YOLO labels (class_id x_center y_center width height).
  • viewport_labels/: Coordinates for the observer camera rectangle (x y w h in pixels).
  • data.yaml: Dataset configuration file compatible with YOLOv8/v11 training.

How to Generate the Full Dataset

Clone the repository and run the generator script. The script uses multiprocessing to generate data quickly.

Recommended Command (High Quality) 

# Generates 100k training images at 256x256 resolution
python -m scripts.data.synthetic_data_generator \
  --n-train 100000 \
  --n-val 10000 \
  --n-test 10000 \
  --imgsz 256 \
  --dataset-name lol_minimap_synthetic \
  --viewport-sim
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Size of downloaded dataset files:
460 kB
Size of the auto-converted Parquet files:
704 kB
Number of rows:
11,696

Models trained or fine-tuned on boboyes/leagueoflegends-minimap