A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

Benchmark Model Rank Results
fine-grained-image-classification-on-10Inception-v3 (Spinal FC)#1Accuracy: 99.26
fine-grained-image-classification-on-10WideResNet-101(Spinal FC)#2Accuracy: 99.26
fine-grained-image-classification-on-10VGG-19_bn#3Accuracy: 98.90
fine-grained-image-classification-on-bird-225WideResNet-101 (Spinal FC)#1Accuracy: 99.56
fine-grained-image-classification-on-bird-225WideResNet-101#3Accuracy: 99.38
fine-grained-image-classification-on-oxfordDenseNet-201(Spinal FC)#10Accuracy: 98.36
fine-grained-image-classification-on-oxfordDenseNet-201#12Accuracy: 98.29