This repo contains the details of the HRPlanesv2, a high-resolution satellite imagery dataset for aircraft detection, as well as the benchmark results of experiments using YOLOv4, YOLOv5, and YOLOv8, along with the associated weight files.

Aircraft detection in satellite images using computer vision and machine learning.

FlightGazer, a comprehensive flight-tracking and logging program that renders dump1090 aircraft info to an RGB-Matrix display.

Aircraft detection and collision avoidance

Tactical Command Dashboard for Military Aircraft Detection using Deep Learning (CNN, MobileNetV2, EfficientNetB0) featuring real-time video inference, HUD simulation, and comprehensive model performance analytics built with Streamlit.