I’m trying to fine-tune VGG16 pre-trained model for multi-class object detection.
I’m storing the annotation bounding boxes and class labels as list of tuples and converting them to ragged tensor due to non-uniformity (different number of objects in different images). Then creating a list of both to create a dataset using tf.data.Dataset.from_tensor_slices().