Table 4.
ImageQX Performance on Poor Image Quality Explanation Performance over Five Training Runs (Mean ± Standard Deviation)
REASON | SENSITIVITY | SPECIFICITY | F1-SCORE |
---|---|---|---|
Bad framing | 0.31 ± 0.01 | 0.96 ± 0.00 | 0.37 ± 0.01 |
Bad light | 0.58 ± 0.02 | 0.90 ± 0.01 | 0.61 ± 0.00 |
Blurry | 0.60 ± 0.02 | 0.95 ± 0.00 | 0.70 ± 0.01 |
Low resolution | 0.47 ± 0.02 | 0.92 ± 0.01 | 0.52 ± 0.01 |
Too far away | 0.35 ± 0.02 | 0.98 ± 0.00 | 0.42 ± 0.02 |
Mean | 0.39 ± 0.01 | 0.95 ± 0.00 | 0.45 ± 0.01 |
F1-scores in bold show the explanations where ImageQX reaches expert-level performance.