Image Classification on ImageFruit 128x128 (test)
63.9AccuracyReal dataset
Evaluation Results
| Method | Links | |
|---|---|---|
| Real datasetBackbone=ConvNet-52022.11 | 63.9 | |
| Whole DatasetData Percent=100%, Resolution=128x1282025.02 | 63.9 | |
| FTDipc=10, Backbone=ConvNet-52022.11 | 44.9 | |
| NCFMIPC=10, Ratio (%)=0.77, Resolution=128x1282025.02 | 44.8 | |
| MTTipc=10, Backbone=ConvNet-52022.11 | 40.3 | |
| MTTIPC=10, Ratio (%)=0.77, Resolution=128x1282025.02 | 40.3 | |
| NCFMIPC=1, Ratio (%)=0.077, Resolution=128x1282025.02 | 29.2 | |
| FTDipc=1, Backbone=ConvNet-52022.11 | 29.1 | |
| MTTipc=1, Backbone=ConvNet-52022.11 | 26.6 | |
| MTTIPC=1, Ratio (%)=0.077, Resolution=128x1282025.02 | 26.6 | |
| RandomIPC=10, Ratio (%)=0.77, Resolution=128x1282025.02 | 21.4 | |
| RandomIPC=1, Ratio (%)=0.077, Resolution=128x1282025.02 | 13.2 |