Why has Amazon Photos face recognition accuracy fallen to 70%?

Introduction

Amazon Photos' face recognition accuracy has dropped to 70%, a concerning decline that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update. When did you first notice this drop in accuracy?

Why it matters: Pinpointing the timeframe helps narrow down potential causes. Expected answer: Within the last month. Impact on approach: A sudden drop suggests a recent change, while a gradual decline might indicate a systemic issue.

• Considering user segments, I'm wondering if this affects all users equally. Have you noticed any patterns in terms of user demographics or photo types where the accuracy is particularly low?

Why it matters: Identifying affected segments can reveal specific issues or biases in the algorithm. Expected answer: The issue seems more prevalent with photos of children or in low-light conditions. Impact on approach: This would focus our investigation on algorithm performance in specific scenarios.

• Given the nature of face recognition, I'm curious about the training data. Has there been any recent change in the dataset used to train the face recognition model?

Why it matters: Changes in training data can significantly impact model performance. Expected answer: No recent changes to the training dataset. Impact on approach: If unchanged, we'd need to look at other factors like model deployment or infrastructure issues.

• Thinking about system health, I'm wondering about any recent infrastructure changes. Have there been any updates to the underlying hardware or software stack supporting the face recognition feature?

Why it matters: Infrastructure changes can sometimes lead to unexpected performance issues. Expected answer: A recent cloud provider migration was completed. Impact on approach: This would shift our focus to potential compatibility or configuration issues post-migration.