Military Aircraft Detection Dataset

This dataset contains over 77,000 annotated images for the detection of military aircraft, covering 81 different types with accurate annotations in PASCAL VOC format. It includes various images with partial or complete views of the planes. The license is not specified, it is advisable to check the use according to the context. This corpus is suitable for computer vision, object detection, and classification tasks.

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Size

Approximately 77,500 JPG files and CSV annotations, 164,000 annotations in PASCAL VOC format

Licence

Unknown license (use to be verified)

Description

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The Military Aircraft Detection Dataset includes approximately 77,500 JPEG images annotated in CSV using the PASCAL VOC format, covering 81 classes of military aircraft. Each annotation describes the position of the object in the image using precise coordinates. This dataset is rich in the diversity of planes and angles of view, which makes it relevant for detection and classification models in computer vision.

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What is this dataset for?

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Train object detection models specific to military aircraft
Improving fine aircraft species recognition for surveillance and defense
Testing vision algorithms under varied and complex conditions

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Can it be enriched or improved?

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Yes, it is possible to add additional annotations (e.g. segmentation, secondary classification), or to merge with other aircraft datasets. A precise validation of the license would also make it possible to expand its commercial or open source use.

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🔎 In summary

Criterion	Evaluation
🧩 Ease of use	⭐⭐⭐⭐✩ (Well-formatted annotations but volume to manage)
🧼 Need for cleaning	⭐⭐⭐⭐✩ (Moderate – check annotation consistency)
🏷️ Annotation richness	⭐⭐⭐⭐⭐ (Good – precise bounding boxes and many classes)
📜 Commercial license	⚠️ Undetermined – usage to be validated
👨‍💻 Beginner friendly	⚠️ Moderate – large and complex dataset
🔁 Fine-tuning ready	🎯 Very suitable for object detection and classification
🌍 Cultural diversity	🌐 Variety of airplanes from multiple countries and types