League of Legends Synthetic Minimap: 1,000 Images for Object Detection

1,000 synthetic League of Legends minimap images created by boboyes in February 2026 for object detection training. This collection serves as a sample for a larger generator script designed to produce custom-scale datasets for esports analytics.

Use Cases

• Training YOLO models to identify champion icons on the minimap
• Developing game state trackers using synthetic image features
• Benchmarking object detection algorithms on esports-specific UI elements

Strengths

• 1,000 pre-generated images for immediate testing
• YOLO-compatible tagging for object detection workflows
• CC BY-NC 4.0 licensed for non-commercial research

Limitations

• Small sample size relative to training requirements for high-performance models
• Synthetic data may lack specific visual noise or compression artifacts found in live stream captures

Provenance

Source

boboyes

Collection Method

synthetic

Freshness

Last updated February 2026.