title: How to train an object detection model with variable output size?
body: <p>Assume we are working on the following dataset: <a href="https://www.kaggle.com/jutrera/stanford-car-dataset-by-classes-folder" rel="nofollow noreferrer">https://www.kaggle.com/jutrera/stanford-car-dataset-by-classes-folder</a>.</p>
  <p>I want to create object detection model with input as images of different shapes and output also as images of variable shapes but the output images are cropped cars from the corresponding input images(hence the variable shapes). How to achieve this using Keras. I know the process of image segmentation and auto-encoders but as the size of input and outputs are variable, the exact process seems distant. Pls help me. Thank you.</p>