Udbhavthon

--- license: apache-2.0 tags: - semantic-segmentation - image-segmentation - computer-vision - outdoor-scenes - pytorch metrics: - mean_iou --- # udbhavthon — Semantic Segmentation Model A semantic segmentation model trained for **10-class outdoor scene understanding**, achieving a peak **mIoU of 0.94** after 50 epochs of training. --- ## Training Summary | Metric | Epoch 1 | Epoch 50 | |---|---|---| | **Loss** | 2.304 | **0.04** | | **mIoU** | ~0.09 | **0.94** | - **Epochs:** 50 - **Classes:** 10 - **Final mIoU:** 0.94 --- ## Training Loss Loss dropped sharply from **2.304 → 0.04** over 50 epochs.  ### Loss (Logarithmic Scale)  --- ## mIoU Progression mIoU climbed steadily from near-zero to a peak of **0.94** at epoch 50.  --- ## Loss vs mIoU — Joint Dynamics  --- ## Per-Class IoU — Final Model (Epoch 50) | Class | IoU Score | |---|---| | Sky | 0.97 | | Trees | 0.73 | | Background | 0.71 | | Dry Grass | 0.61 | | Landscape | 0.60 | | Lush Bushes | 0.58 | | Dry Bushes | 0.35 | | Ground Clutter | 0.32 | | Rocks | 0.26 | | Logs | 0.21 |  --- ## Per-Class IoU — Radar Chart  --- ## Per-Class IoU — Heatmap Across Training  --- ## Per-Class IoU at Each Checkpoint ### Epoch 10  ### Epoch 20  ### Epoch 30  ### Epoch 40  ### Epoch 50 (Final)  --- ## Per-Class IoU Progression (All Classes)  --- ## Model Details - **Task:** Semantic Segmentation - **Classes:** Sky, Trees, Background, Landscape, Dry Grass, Lush Bushes, Dry Bushes, Ground Clutter, Rocks, Logs - **Training Epochs:** 50 - **Final Loss:** 0.04 - **Final mIoU:** 0.94