SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms

Benchmark Model Rank Results
classification-on-spot-10DenseNet121 Distiller#1Accuracy: 81.84
classification-on-spot-10ResNet101V2 Distiller#2Accuracy: 80.29
classification-on-spot-10ResNet50V2 Distiller#3Accuracy: 79.03
classification-on-spot-10MobileNet Distiller#4Accuracy: 78.26
classification-on-spot-10MobileNetV3Small Distiller#5Accuracy: 78.04
classification-on-spot-10MobileNetV3Large Distiller#6Accuracy: 77.88
classification-on-spot-10NASNetMobile Distiller#7Accuracy: 77.75
classification-on-spot-10MobileNetV2 Distiller#8Accuracy: 77.53
classification-on-spot-10ResNet50 Distiller#9Accuracy: 77.45