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WALDO30: A powerful detection AI model based on YOLO-v8
I. Overview WALDO30 is a detection AI model developed by StephanST, built on a large YOLO-v8 backbone and the developer's own synthetic data pipeline. The model is designed to localize and identify low-altitude detectable objects, and its output covers a wide range of common object classes that can be applied to a variety of scenarios ranging from overhead imagery to satellite imagery at an altitude of about 30 feet. The model is licensed under the MIT Open Source License, and developers are encouraged to make a variety of applications and improvements. II. Functions Multi-Category Object Detection: capable of detecting multiple categories of objects, including "Ligh...
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