Most of the time we use pre-trained models for object detection in tensorflow-keras. The web is full of such kind of tutorials.
At the same time, there are certain implementations written from scratch.
Below I plan to list such resources.
1. RetinaNet : The official keras tutorial implements RetinaNet using ResNet50.
https://keras.io/examples/vision/retinanet/
2. Mirza Mujtaba's YOLO implementation:
https://www.kaggle.com/mirzamujtaba/yolo-object-detection-using-keras
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