How to match the input image with the ground truth image (the order)

I'm a beginner learning deep learning and trying to do semantic segmentation problems on histologic image using python and TensorFlow. There is 2 main file : Images.npy and Labels.npy (Ground truth).

So before the training, i want to match the input images with the ground truth images. So, the ground truth will be matched with the images. For Example : There is images_1 and labels_1. When we check labels_1 is match with images_1 (Matched). I want to avoid this condition : labels_1 is actually match with images_4.

Can someone tell me how to sort/match the images (input) and labels(ground truth). Code with explanation would help a lot. Thank you.