End-to-end Object Detection Using EfficientDet on Raspberry Pi 3 (Part 2)

This is the 2nd part of a 3-part series on building and deploying a custom object detection model to a Raspberry Pi 3. To get caught up,I'd suggest reading part 1 here: Part 2 will be all about training our object detection network using Google Colab . First and foremost, before training, we'll dig into the network architecture we plan to use. EfficientDet is a neural network architecture for object detection. It's one of the TensorFlow object detection APIs from the various model zoos, like CenterNet, MobileNet, ResNet, and Fast R-CNN. EfficientDets are a family of object detection models that achieve state-of-the-art 55.1mAP (mean average precision) on COCO test-dev, while also being 4x -- 9x smaller and using 13x -- 42x fewer FLOPs than previous detectors.