How do you load, label, and feed jpeg data into Tensorflow?

I have been trying to feed 1750 * 1750 images into Tensorflow, but I do not know how to label and feed the data after I convert the images into a Tensor using the tf.image.decode_jpeg() function.

Currently, my code is:

import tensorflow as tf
import numpy as np

import imageflow
import os, glob

sess = tf.InteractiveSession()

def read_jpeg(filename_queue):
 reader = tf.WholeFileReader()
 key, value = reader.read(filename_queue)

 my_img = tf.image.decode_jpeg(value)
 my_img.set_shape([1750, 1750, 1])
 print(value)
 return my_img

#####################################################
def read_image_data():
 jpeg_files = []
 images_tensor = []

 i = 1
 WORKING_PATH = "/Users/Zanhuang/Desktop/NNP/DATA"
 jpeg_files_path = glob.glob(os.path.join(WORKING_PATH, '*.jpeg'))

 for filename in jpeg_files_path:
    print(i)
    i += 1
    jpeg_files.append(filename)


 filename_queue = tf.train.string_input_producer(jpeg_files)

 mlist = [read_jpeg(filename_queue) for _ in range(len(jpeg_files))]

 init = tf.initialize_all_variables()

 sess = tf.Session()
 sess.run(init)

 images_tensor = tf.convert_to_tensor(images_tensor)


 sess.close()

Now, as I said earlier, I need to feed and label the data. I have seen the CIFAR-10 tutorial files, but they stored the labels in a file and I plan on not doing that way.

I am quite new to Tensorflow so please keep the response as detailed as possible.

Thanks!