We are experiencing significant inconsistencies with the sharpness ratings provided by AWS Rekognition. Our workflow involves photographing school events, and we consistently upload high-quality images (2400px on the long edge, JPG format) for processing. Despite this, some of our sharpest images receive low sharpness ratings (as low as 0.2-0.3%), while others receive ratings of 0.6-0.7%.
Could someone provide insights into why these inconsistencies might be occurring and how we can achieve more reliable sharpness ratings?
Steps Taken:
- We ensured that all images are of high resolution and consistent quality.
- We checked for variations in lighting and other conditions but found no significant differences that would account for the inconsistency.
- We experimented with different sets of images and observed similar inconsistent ratings.
