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facialexpressionrecog's Introduction

AffectClassification

CK plus

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ExpW

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Affectnet ( 20 epoch _ resnet 18)

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- 최종 TEST 성능 : 0.5414285714285715

Affectnet ( 20 epoch _ resnet 50)

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- 최종 TEST 성능 : 0.5588571428571428

  • Class 0: 366 samples correctly predicted. => Class 0 Accuracy: 0.7320
  • Class 1: 458 samples correctly predicted. => Class 1 Accuracy: 0.9160
  • Class 2: 289 samples correctly predicted. => Class 2 Accuracy: 0.5780
  • Class 3: 219 samples correctly predicted. => Class 3 Accuracy: 0.4380
  • Class 4: 199 samples correctly predicted. => Class 4 Accuracy: 0.3980
  • Class 5: 133 samples correctly predicted. => Class 5 Accuracy: 0.2660
  • Class 6: 292 samples correctly predicted. => Class 6 Accuracy: 0.5840

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