How to load and preprocess images from a dataset using Colab, Python, and TensorFlow

please do tutorial of tar file image dataset. i have dataset that is tar file that i have trouble loading

please can you send me the code for this preprocessing

import tensorflow as tf


size = (512, 512)


ds_train = ds_train.map(lambda image, label: (tf.image.resize(image, size), label))


ds_val = ds_validation.map(lambda image, label: (tf.image.resize(image, size), label))

error
NameError Traceback (most recent call last)
<ipython-input-16-25e00600bc69> in <cell line: 10>()
8
9
---> 10 ds_val = ds_validation.map(lambda image, label: (tf.image.resize(image, size), label))

NameError: name 'ds_validation' is not defined

at the end, how to export the data

Can you provide the code

how to convert pck file to jpeg file can you please do one video on that

good informative video

Can you guide me in training PlantCLEF 2022 dataset for classification of trees,leaves and flowers

Can you provide the code?

How can we convert that trained model to tf model so that we can use it for Android ??

how can i get the labels fr ds_train

I am getting the output "Figure size 1000 x 1000 with 0 axes" instead of the images rotated and so on (20m09s). Can someone help me?

From where we can get link of original dataset?