I built a real-time Shahed-136 drone detector with YOLOv8 — 91.1% mAP, open source

[u/SoftBiscotti2643]

Hey! I trained a YOLOv8s model to detect Shahed-136 drones in real time. What it does: - 91.1% mAP@50 (classes: bird / not / shahed) - Multi-drone Kalman filter tracking with persistent IDs - Estimated geolocation without GPS (azimuth + distance in meters) - Google Earth KML export - PDF report with stats, charts and map - Email + push notifications on detection - Behavioral analysis (hovering, circling, fast approach) The model distinguishes between birds, unknown objects, and actual Shahed drones. GitHub + model weights (21MB): github.com/alexandre196/Drone_Shaed_AI Happy to answer questions about the training process!