DBKNet v1.0.0
This release provides the complete trained checkpoints and training records used in the DBKNet experiments.
Contents
- Checkpoints for the formal DBKNet model
- Checkpoints for comparison models
- Checkpoints for ablation experiments
- Checkpoints for spatial-validation experiments
- Checkpoints for loss-function experiments
- Original training and evaluation logs
- Experiment configurations saved in the original work directories
- Checkpoint manifest with file sizes and SHA-256 values
Main Settings
- Input size: 256 × 256
- Input channels: 6
- Number of classes: 3
- Ignore index: 255
- Formal training iterations: 10,000
- Random seed: 0
The source code and experiment configurations are available in the main repository. Raw Landsat imagery is not included because of its large file size.