title: What size of image is better to have for the TensorFlow Object Detection API?
body: <p>I want to know when training my own image dataset by using a pre-trained model (e.g: <strong>ssd_mobilenet_v1_coco</strong>, <strong>ssd_inception_v2_coco</strong>, <strong>faster_rcnn_inception_v2_coco</strong>, <strong>...</strong>) what image size is better to resize the images before starting creating TF record and training? </p>
  
  <p>I am asking this because when I collecting images it has different size, some are very large (<code>1920x1080</code>, <code>...</code>), but I don't know if it is good or not to resize the images. </p>
  
  <p>And also does it depends or not on the model I want to choose? If does, then what is the better size for every model?</p>
  
  <p>Thanks in advance!</p>