title: colab_utils.annotate(), annotation format
body: <p>I am following the Tensorflow notebook for Few shot learning ( <a href="https://colab.research.google.com/github/tensorflow/models/blob/master/research/object_detection/colab_tutorials/eager_few_shot_od_training_tf2_colab.ipynb#scrollTo=RW1FrT2iNnpy" rel="noreferrer">https://colab.research.google.com/github/tensorflow/models/blob/master/research/object_detection/colab_tutorials/eager_few_shot_od_training_tf2_colab.ipynb#scrollTo=RW1FrT2iNnpy</a> )</p>
  <p>In it, I saw that they were annotating the images using colab_utils.annotate(). I can't understand the annotation format they are using (like YOLO or COCO format). Another problem is that we can't specify the classes at the time when we are drawing the bounding boxes and I have to remember the order in which I annotate the different images and classes so I can add them by code later on.</p>
  <p>If someone can tell me what's that format so I can annotate the images on my PC locally rather than on COLAB which will save a lot of time.</p>
  <p>Any help would be appreciated.
  Regards</p>