DeepLabV3+ Corm & Damage Semantic Segmentation Model
This repository contains weights, performance curves, and hyperparameter logs for experiment deeplabv3plus-512_run_2026-06-27_13-14.
Model Summary
- Architecture Type: DeepLabV3+ (SMP wrapper)
- Backbone Encoder:
resnet34 - Pretrained Weights:
imagenet - Input Channels: 3
- Number of Classes: 3 (0: background, 1: damage, 2: corm)
- Training Resolution:
512x512 - Loss Optimizer configuration:
CrossEntropy
Metrics Curves
Below are the training performance plots generated for this run:
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Evaluation results
- Best Val Mean IoUself-reported0.935
- Best Val Damage-Class IoUself-reported0.843
- Best Val Corm-Class IoUself-reported0.964