Dragon 4 Lite

Dragon 4 Lite β€” lightweight real-time object detection model for Standoff 2 (and similar games with Standoff 2 characters).

🎯 Model Details

Property Value
Architecture YOLOv26n
Task Object Detection
Classes ct (Counter-Terrorist), tr (Terrorist)
Input Size 520Γ—520
File Size ~5-6 MB
Framework Ultralytics
License MIT

πŸ“Š Performance (DragonTest-V2, 175 images)

Test Score
Lite-30 87.43%
Lite-40 88.00%
Lite-50 86.29%
Lite-70 82.29%
Hard-40 84.57%
Hard-50 82.86%
Hard-60 82.29%
UltraHard 2.29%

Average (excluding UltraHard): 84.82%

⚑ Key Features

  • Real-time inference β€” works on mid-range GPUs (GTX 1650+, RTX 3050+)
  • Low VRAM usage β€” ~2 GB
  • Robust β€” does not confuse ct and tr (a common problem in older models)
  • Generalizes well β€” works on new maps/skins not seen during training
  • Optimized for Standoff 2 β€” trained on real game screenshots
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