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Debugging a Pot Plant Detector | FREE Python Course | L1 - The Importance of XAI in Computer Vision
I have too many houseplants—and what better way to manage them than by building a machine learning model? But what if the model ends up being right for the wrong reasons?
In this video, we:
🌱 Build a dataset of my four plants: Rudo, Baya, Greg, and Yuki.
📸 Train a convolutional neural network (CNN) to classify plant images.
🤔 Use Explainable AI (XAI) methods to uncover a critical flaw in the model.
When evaluating the model on new data, I discovered it was using pot colors—not plants—to make predictions. This bias revealed how easily machine learning models can fail if datasets aren't diverse enough.
This video is an introduction to my free Explainable AI for Computer Vision course, where you'll learn how XAI methods like Grad-CAM, SHAP, and occlusion mapping can uncover hidden biases, improve fairness, and build trust in your models.
Learn why XAI is essential for developing better, more transparent machine learning models. Subscribe and join the journey! 🌟
🚀 Free Course 🚀
XAI for CV: adataodyssey.com/xai-for-cv
Paid version (get now at a discounted price): https://adataodyssey.com/courses/xai-for-cv/
eBook: (COMING SOON)
🚀 Other XAI Courses 🚀
XAI with Python: https://adataodyssey.com/courses/xai-with-python/
SHAP with Python: https://adataodyssey.com/courses/shap-with-python/
🚀 Companion article 🚀
https://adataodyssey.com/the-importance-of-explainable-ai-xai-in-computer-vision/
🚀 Useful playlists 🚀
XAI for CV: https://www.youtube.com/playlist?list=PLqDyyww9y-1QA4-o4tTAF_iD5cKCC1qEA
XAI: https://www.youtube.com/playlist?list=PLqDyyww9y-1SwNZ-6CmvfXDAOdLS7yUQ4
SHAP: https://www.youtube.com/playlist?list=PLqDyyww9y-1SJgMw92x90qPYpHgahDLIK
Algorithm fairness: https://www.youtube.com/playlist?list=PLqDyyww9y-1Q0zWbng6vUOG1p3oReE2xS
🚀 Get in touch 🚀
Medium: https://conorosullyds.medium.com/
Bluesky: https://bsky.app/profile/conorosullyds.bsky.social
Threads: https://www.threads.net/@conorosullyds
Twitter: https://twitter.com/conorosullyDS
Website: https://adataodyssey.com/
🚀 Chapters 🚀
00:00 Introduction
0:33 Creating the Pot Plant Dataset
00:59 Model Training
02:49 Debugging the model with Grad-CAM
Видео Debugging a Pot Plant Detector | FREE Python Course | L1 - The Importance of XAI in Computer Vision канала A Data Odyssey
In this video, we:
🌱 Build a dataset of my four plants: Rudo, Baya, Greg, and Yuki.
📸 Train a convolutional neural network (CNN) to classify plant images.
🤔 Use Explainable AI (XAI) methods to uncover a critical flaw in the model.
When evaluating the model on new data, I discovered it was using pot colors—not plants—to make predictions. This bias revealed how easily machine learning models can fail if datasets aren't diverse enough.
This video is an introduction to my free Explainable AI for Computer Vision course, where you'll learn how XAI methods like Grad-CAM, SHAP, and occlusion mapping can uncover hidden biases, improve fairness, and build trust in your models.
Learn why XAI is essential for developing better, more transparent machine learning models. Subscribe and join the journey! 🌟
🚀 Free Course 🚀
XAI for CV: adataodyssey.com/xai-for-cv
Paid version (get now at a discounted price): https://adataodyssey.com/courses/xai-for-cv/
eBook: (COMING SOON)
🚀 Other XAI Courses 🚀
XAI with Python: https://adataodyssey.com/courses/xai-with-python/
SHAP with Python: https://adataodyssey.com/courses/shap-with-python/
🚀 Companion article 🚀
https://adataodyssey.com/the-importance-of-explainable-ai-xai-in-computer-vision/
🚀 Useful playlists 🚀
XAI for CV: https://www.youtube.com/playlist?list=PLqDyyww9y-1QA4-o4tTAF_iD5cKCC1qEA
XAI: https://www.youtube.com/playlist?list=PLqDyyww9y-1SwNZ-6CmvfXDAOdLS7yUQ4
SHAP: https://www.youtube.com/playlist?list=PLqDyyww9y-1SJgMw92x90qPYpHgahDLIK
Algorithm fairness: https://www.youtube.com/playlist?list=PLqDyyww9y-1Q0zWbng6vUOG1p3oReE2xS
🚀 Get in touch 🚀
Medium: https://conorosullyds.medium.com/
Bluesky: https://bsky.app/profile/conorosullyds.bsky.social
Threads: https://www.threads.net/@conorosullyds
Twitter: https://twitter.com/conorosullyDS
Website: https://adataodyssey.com/
🚀 Chapters 🚀
00:00 Introduction
0:33 Creating the Pot Plant Dataset
00:59 Model Training
02:49 Debugging the model with Grad-CAM
Видео Debugging a Pot Plant Detector | FREE Python Course | L1 - The Importance of XAI in Computer Vision канала A Data Odyssey
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9 декабря 2024 г. 13:00:51
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