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Google EfficientDet

Google EfficientDet is a family of object detection models that achieve state-of-the-art accuracy with significantly fewer parameters and computational resources. It employs a compound scaling method to balance network depth, width, and resolution, optimizing performance for various applications.

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About Google EfficientDet

Google EfficientDet was introduced in 2020 as part of Google's efforts to create more efficient and accurate object detection models. It was developed by the Google Brain team to address the limitations of existing models in terms of computational efficiency and accuracy, utilizing a compound scaling method to optimize performance across different dimensions.

Strengths of Google EfficientDet include high accuracy, computational efficiency, and scalability. Weaknesses may involve complexity in implementation and potential challenges in real-time applications. Competitors include YOLO (You Only Look Once), Faster R-CNN, and RetinaNet.