Building your own Object Detector from scratch with Tensorflow

In this story, we talk about how to build a Deep Learning Object Detector from scratch using TensorFlow. Instead of using a predefined model, we will define each layer in the network and then we will train our model to detect both the object bound box and its class. Finally, we will evaluate the model using IoU metric. TL;DR: need the code right now? Check this colab notebook or this github repository Object Detection is a task concerned in automatically finding semantic objects in an image. Today Object Detectors like YOLO v4/v5 /v7 and v8 achieve state-of-art in terms of accuracy at impressive real time FPS rate.