Custom Pytorch Dataloader | Image | Dataset

Are you struggling to load your own data into your AI models? In this video, I've got you covered! I'll guide you step by step through the process of ingesting and pre-processing custom datasets. Whether your data is stored in a local folder or up in the cloud, I've got you covered.
In this tutorial, you'll learn:
How to access and manipulate your data efficiently.
Transformations and resizing to ensure your data is AI-ready.
Utilizing PyTorch's Data Loader for easy batch handling.
Building a simple AI model and feeding it your pre-processed data.
By the end of this video, you'll have the knowledge and skills to load your own custom datasets and kickstart your AI projects.
Subscribe to stay updated with the latest AI tutorials and guides. Let's dive in!

[@arrafkhan6623]

amazing video very helpful

[@logiclab10]

thank you so much 😊

[@kneecapassassin]

2:07

[@logiclab10]

so you found the solution?

[@kneecapassassin]

Yes@@logiclab10

[@kneecapassassin]

how do you make it so that instead of looking at the file name, it looks for the images in a certain directory to count them?