Object Detection

Five questions. Choose one answer for each, then submit to see your score and explanations.

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1. Which explanation matches represent boxes and confidence?A. A box uses a defined coordinate convention; its score reflects model evidence for a class or object.B. Nonmaximum suppression keeps a stronger candidate while removing sufficiently overlapping duplicates.C. A precision-recall curve shows the trade-off as the decision threshold changes.D. Detection errors often depend on object size, occlusion, contrast, and annotation quality.

2. Which explanation matches resolve duplicate boxes?A. A box uses a defined coordinate convention; its score reflects model evidence for a class or object.B. A precision-recall curve shows the trade-off as the decision threshold changes.C. Detection errors often depend on object size, occlusion, contrast, and annotation quality.D. Nonmaximum suppression keeps a stronger candidate while removing sufficiently overlapping duplicates.

3. Which explanation matches read precision-recall for a detector?A. A box uses a defined coordinate convention; its score reflects model evidence for a class or object.B. Nonmaximum suppression keeps a stronger candidate while removing sufficiently overlapping duplicates.C. A precision-recall curve shows the trade-off as the decision threshold changes.D. Detection errors often depend on object size, occlusion, contrast, and annotation quality.

4. For resolve duplicate boxes, which result or action fits this practical case: One parking sign produces three overlapping detection boxes.A. Check whether coordinates are corners or center-width-height before drawing them.B. Compare overlap thresholds on adjacent parking signs close together.C. Measure precision and recall on held-out scenes at several thresholds.D. Report recall separately for small, distant, and occluded signs.

5. For diagnose small and occluded objects, which result or action fits this practical case: Small distant signs and partly hidden signs are missed.A. Report recall separately for small, distant, and occluded signs.B. Check whether coordinates are corners or center-width-height before drawing them.C. Compare overlap thresholds on adjacent parking signs close together.D. Measure precision and recall on held-out scenes at several thresholds.

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Object Detection

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