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corm-fusarium-unet-segmentation – AI Model by mujerry | AlphaNeural AI
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corm-fusarium-unet-segmentation
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pytorch
safetensors
UNet
semantic-segmentation
unet
resnet34
agricultural-cv
en
mit
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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:
Performance Curves
Performance Curves
