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corm-deeplabv3plus-segmentation-256 – AI Model by mujerry | AlphaNeural AI
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corm-deeplabv3plus-segmentation-256
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pytorch
safetensors
DeepLabV3Plus
semantic-segmentation
deeplabv3plus
resnet34
agricultural-cv
en
mit
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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:
Performance Curves
Performance Curves
