mAP (micro): 82.7
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Multi-Label Image Classification
The Multi-Label Image Classification focuses on predicting labels for images in a multi-class classification problem where each image may belong to more than one class.
논문
F1 Score: 76.8
mAP (micro): 89.3F1 Score: 80.5
mAP: 84.8
mean average precision: 84.20
Accuracy: 47.5
Average mAP: 78.4
Average mAP: 81.9
mAP (macro): 75.36
mean average precision: 86.9
MAP: 96.8
mAP (micro): 89.3official split: No
Average mAP: 77.9
Average mAP: 83.6