About the Dataset The Drone vs Bird Dataset is a custom computer vision dataset for object detection and image classification, comprising 8,880 images containing drones, birds, or both under diverse backgrounds, lighting, viewing angles, object scales, and weather conditions. It includes approximately 11,500 drone and 12,000 bird manually annotated bounding boxes with normalized coordinates, making it suitable for object detection frameworks such as YOLO, Faster R-CNN, and SSD. The dataset supports training, validation, and evaluation of models for applications including drone surveillance, airspace monitoring, and security systems, with carefully curated and quality-checked annotations for reliable research and development. 
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Dataset Usage Terms• The Drone vs Bird Dataset is available for educational, academic, research, and commercial use.
• Non-commercial use (teaching, academic research, and machine learning model development) is permitted free of charge.
• Commercial use requires prior written permission from the dataset owners and a valid commercial license.
• Redistribution, resale, or public sharing of the dataset is prohibited without prior written permission.
• Users must appropriately acknowledge and cite the dataset in any publications or works derived from its use.
• To request access, please fill out the form at https://forms.gle/pirheAhBfkG9YbdC7 and briefly describe your intended use of the dataset. |
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