UNet Corm & Damage Semantic Segmentation Model
This repository contains the weights, performance logs, and hyperparameters for experiment unet_run_2026-06-23_22-07.
Model Hyperparameters
- Architecture Type: UNet (SMP wrapper)
- Backbone Encoder:
resnet34 - Pretrained Weights:
imagenet - Input Channels: 3
- Number of Classes: 3 (0: background, 1: damage, 2: corm)
- Training Resolution:
{image_size}{image_size}
Training Configurations
- Batch Size: 8
- Optimizers / Lr: AdamW / 0.0001
- Maximum Epochs: 100
- 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-reported0.937
- Best Val Mean Accuracyself-reported0.969