UNet Corm & Damage Semantic Segmentation Model
This repository contains the weights, performance logs, and hyperparameters for experiment unet_run_2026-06-23_13-16.
Model Hyperparameters
- Architecture Type: UNet (SMP wrapper)
- Backbone Encoder:
UNet - Pretrained Weights:
imagenet - Input Channels: 3
- Number of Classes: 3 (0: background, 1: damage, 2: root)
- Training Resolution:
256x256
Training Configurations
- Batch Size: 8
- Optimizers / Lr: AdamW / 0.0001
- Maximum Epochs: 200
- Seed Configuration: 42
Metrics Curves
Below are the training performance plots generated for this run:
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Evaluation results
- Best Val Mean IoUself-reported0.929
- Best Val Mean Accuracyself-reported0.967