How User Photos Differed from Catalog Images
Question: Answer in one to three sentences. In the app example, what three properties set customer-submitted photos apart from the studio catalog images?
Sample answer: The customer photos were typically smaller in resolution, more out of focus, and taken in dimmer light than the catalog pictures.
Key points:
- Smaller image resolution
- More blur or less sharpness
- Dimmer lighting
Rubric: The response should identify lower resolution, greater blur, and weaker lighting. Equivalent wording is acceptable.
0
1
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 flower classifier work well on its original test set but poorly after launch?
The evaluation set matched the camera conditions seen during deployment.
Field Photos from Visitor Tablets
Match each part of the bird-photo classifier example to its role in the distribution shift.
Order the steps that exposed a data-distribution mismatch in an email spam filter.
Why Did Good Results on Scanned Documents Not Guarantee Success on Phone Photos?
Diagnose a document classifier that works on office scans but fails on phone photos.
How User Photos Differed from Catalog Images
What did the model's strong result on the website-based test set actually show?
If a model is trained and tested only on studio photos, that evaluation can still miss poor performance on blurry customer-uploaded phone pictures.