What three characteristics distinguished user-uploaded pictures from the website images?
Question: Answer in one to three sentences using the characteristics identified in the cat app example.
Sample answer: The mobile-phone pictures tended to be lower resolution, blurrier, and poorly lit compared with the website images.
Key points:
- Lower resolution
- Blurrier images
- Poor lighting
Rubric: The response should identify lower resolution, greater blur, and poor lighting. Equivalent wording is acceptable.
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References
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Tags
Machine Learning
Deep Learning
Machine Learning Strategy
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Yearning @ DeepLearning.AI
Related
Why did the deployed cat detector perform poorly despite doing well on its original test set?
The original test set accurately represented the mobile-phone pictures encountered after deployment.
The classifier failed to generalize to the actual distribution of _____ pictures.
Match each part of the cat app example to its role in the distribution mismatch.
Order the events that revealed the cat detector's distribution mismatch.
Explain why strong website-image test performance did not predict success in the mobile app.
Diagnose a cat detector that succeeds on website images but fails on app uploads.
What three characteristics distinguished user-uploaded pictures from the website images?
What did the detector's strong result on the website-based test set actually demonstrate?
Using website images for both training and testing can hide poor generalization to user-uploaded mobile-phone pictures.