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Log hyper-parameters, metric curves, and model state for nematode-deeplabv3plus_512-run_2026-06-28_17-57_sample_50

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ language: en
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+ license: mit
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+ tags:
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+ - semantic-segmentation
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+ - pytorch
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+ - deeplabv3plus
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+ - resnet34
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+ - agricultural-cv
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+ model-index:
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+ - name: nematode-deeplabv3plus_512-run_2026-06-28_17-57_sample_50
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+ results:
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+ - task:
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+ type: semantic-segmentation
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+ name: Corm Segmentation
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+ metrics:
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+ - type: mean_iou
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+ value: 0.8735190836786705
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+ name: Best Val Mean IoU
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+ - type: damage_iou
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+ value: 0.7381499204526462
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+ name: Best Val Damage-Class IoU
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+ - type: root_iou
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+ value: 0.8856007365241481
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+ name: Best Val Root-Class IoU
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+ ---
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+
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+ # DeepLabV3+ Corm & Damage Semantic Segmentation Model (Ablation: 70.0%)
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+
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+ This repository contains weights, performance curves, and hyperparameter logs for experiment `nematode-deeplabv3plus_512-run_2026-06-28_17-57_sample_50`.
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+
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+ ## Model Summary
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+ - **Architecture Type:** DeepLabV3+ (SMP wrapper)
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+ - **Backbone Encoder:** `resnet34`
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+ - **Training Resolution:** `512x512`
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+ - **Loss Optimizer configuration:** `CrossEntropy`
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+ - **Dataset Sample Fraction:** `70.0%`
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+
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+ ## Metrics Curves
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+ Below are the training performance plots generated for this run:
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+ ![Performance Curves](performance_curves.png)
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