Label2Label: A Language Modeling Framework for Multi-Attribute Learning

Benchmark Model Rank Results
clothing-attribute-recognition-on-clothingLabel2Label#1Accuracy: 92.87
facial-attribute-classification-on-lfwaLabel2Label#1Error Rate: 12.49
pedestrian-attribute-recognition-on-pa-100kLabel2Label#8Accuracy: 79.23