Military Aircraft Detection & Classification Dataset 88 Classes with Advanced Background Suppression Overview This dataset is a professionally curated resource for training high performance object detection and image classification models such as YOLOv11 . It contains 88 distinct military aircraft classes and is explicitly designed for real world deployment , where false positives from civilian aircraft, birds, and small drones are common. To address this, the dataset incorporates a structured background suppression strategy , teaching models not only what to detect , but also what to ignore . Dataset Summary Total Images : 26,668 Military Aircraft Classes : 87 Image Resolution : 640 × 640 (uniform) Annotation Format : YOLO ( .txt ) with normalized coordinates Primary Use : Military aircraft detection and classification Dataset Split & Background Statistics Split Total Images Background Images Background % Train 21,342 2,508 11.75% Validation 2,641 295 11.17% Test 2,645 284 10.74% Total 26,668 3,127 ~11.7% The dataset maintains a stratified split of approximately 80% Train / 10% Validation / 10% Test across all 87 classes. Advanced Background Suppression Strategy To significantly r…
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