Awesome
Segmenter Variational Autoencoder
This VAE has the ability to generate from within the distribution of satellites images a new image.
Hyperparameters
| Hyperparameters | Values |
|---|---|
| Epochs | 2 |
| batch size | 32 |
| learning rate | 1e-4 |
| dropout | 0.5 |
| mse_weight | 1 |
| KLDiv_weight | 1e-3 |
| Hidden activation | SeLU |
| Latent activation | Sigmoid |
The dataset
Data represents satellites images of cities with multiples objects. <img width="782" alt="Capture d’écran 2020-12-03 à 2 22 20 AM" src="https://user-images.githubusercontent.com/55285736/100951204-61b50680-350e-11eb-917e-f2a6a894e5db.png">
Generative representation of the dataset
The resulted image shows interesting result, where objects are segmented with a specific color which make us able to distinguish an item from another. <img width="955" alt="Capture d’écran 2020-12-03 à 2 31 58 AM" src="https://user-images.githubusercontent.com/55285736/100951874-b9a03d00-350f-11eb-8545-c84fd9039449.png">