| language: en | |
| license: mit | |
| tags: | |
| - semantic-segmentation | |
| - pytorch | |
| - unet | |
| - resnet34 | |
| - agricultural-cv | |
| model-index: | |
| - name: unet_run_2026-06-23_13-16 | |
| results: | |
| - task: | |
| type: semantic-segmentation | |
| name: Corm Segmentation | |
| metrics: | |
| - type: mean_iou | |
| value: 0.9293187884547999 | |
| name: Best Val Mean IoU | |
| - type: mean_accuracy | |
| value: 0.9665135754918103 | |
| name: Best Val Mean Accuracy | |
| # 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: | |
|  |