Awesome
Description
- INFO: Rebuilding App with Dash, since Streamlit has it´s limitations
- This is a follow up demo of my work done on the "On-Cloud-N: Cloud Cover Detection Challenge"
- This demo showcases the performance of:
- Each model on its own
- Adding TTA
- Model ensembling
- Online available: Cloud Model Demo
- To-Do:
- prune and quantized to compress model size & speed up inference
Section 1: Choose sample
<img src="assets/sample_selection.jpg" alt="settings_section" />
- Choose from 5 different samples
- Choose one of the models or choose even an ensemble of model you want to predict with (3 in total)
- Choose how many TTA you want to use (Test-Time Augmentations)
Section 2: Model selection & settings
<img src="assets/model_settings.jpg" alt="inference_section" />
Section 3: Inference & analytics
<img src="assets/inference_section.png" alt="inference_section" />
- Different metric scores
- Predicted vs true_label comparison
- and more...
References