DeepLabV3+ Corm & Damage Semantic Segmentation Model
This repository contains weights, performance curves, and hyperparameter logs for experiment deeplabv3plus-256_run_2026-06-27_09-25.
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:
256x256 - Loss Optimizer configuration:
CrossEntropy
Metrics Curves
Below are the training performance plots generated for this run: