Last week I wrote a post evaluating AWS Rekognition accuracy in finding people in images. The analysis was performed using the Neo4j graph database.

As I noted in the original post – Rekognition is either very confident it has identified a person or not confident at all. This leads to an enormous number of false negatives. Today I looked at the distribution of confidence for the Person label over the last 48 hours.

You be the judge:

rekognition-person-label-confidence-distribution

Check out original post to see how the graph is created and constantly updated as images are created in the serverless IoT processing system.

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