img = ds.images[0].numpy() # Fetch the 1st image and return a NumPy array
label = ds.labels[0].numpy(aslist=True) # Fetch the 1st label and store it as a
# frame = ds.videos[0][4].numpy() # Fetch the 5th frame in the 1st video
# and return a NumPy array
text_labels = ds.labels[0].data()['text'] # Fetch the first labels and return them as text
imgs = ds.images[0:100].numpy() # Fetch 100 images and return a NumPy array
# The method above produces an exception if
# the images are not all the same size
labels = ds.labels[0:100].numpy(aslist=True) # Fetch 100 labels and store
# them as a list of NumPy arrays