Part 1: Foundations of Computer Vision | Lesson: Common Tasks

Описание: Join us for the "Practical Computer Vision with PyTorch and FiftyOne" workshop series. This is a 12-part, hands-on series that teaches you how to work with images, build and train models, and explore tasks like image classification, segmentation, object detection, and image generation. Each session combines straightforward explanations with practical coding in PyTorch and FiftyOne, allowing you to learn core skills in computer vision and apply them to real-world tasks.

In Part 1, we’ll introduce core computer vision tasks and fundamental image representations using PIL, NumPy, and PyTorch. Build a simple neural network to classify handwritten digits and explore dataset visualizations with FiftyOne.

These are hands-on maker workshops that make use of GitHub Codespaces, Kaggle notebooks, and Google Colab environments, so no local installation is required (though you are welcome to work locally if preferred!)

Learn more about FiftyOne: https://github.com/voxel51/fiftyone

Check out the calendar for upcoming computer vision events: https://voxel51.com/computer-vision-e...

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