Repository of Image Databases: Images with Augmented Features
Below are some sample image from the repository along with results from the related research demonstrating the effectiveness of augmenting database images with more features. See papers [6, 8, 9] listed in the references and the table below.
Visual and Numerical Validation
Sample Images
You may click on any image for an enlarged version.
COIL-100
ISIC2020
Fashion-MNIST
Metrics
| Model | ISIC 2020 Accuracy (%) | COIL-100 Accuracy (%) | ||
|---|---|---|---|---|
|
Original / ∇û Augmented Features [6] |
Original / ∇ψ̂ Augmented Features [15] |
Original / ∇û Augmented Features [6] |
Original / ∇ψ̂ Augmented Features [16] | |
| DenseNet 121 [2] | 89.40 / 88.88 | — | 88.72 / 87.88 | — |
| ResNet 50 [3] | 90.20 / 91.19 | 88.30 / 93.00 | 89.51 / 90.16 | 90.13 / 92.33 |
| Inception ResNet V2 [4] | 89.60 / 92.50 | — | 88.91 / 91.45 | — |
| EfficientNet B0 [5] | 91.69 / 92.90 | — | 90.99 / 91.85 | — |
| SeyNet [6] | 90.10 / 93.25 | — | 89.41 / 91.27 | — |