Udbhavthon
A semantic segmentation model trained for 10-class outdoor scene understanding, achieving a peak mIoU of 0.94 after 50 epochs of training.
Model source
- Kind
- Other
- File size
- 541 MB
- Version
- vRevision e76d50c
- Updated
- Sep 15, 2026
- Downloads
- 0
- Tasks
- Image segmentation
- Source
- Hugging Face
Source description
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.
Training Loss
Loss (Logarithmic Scale)
Loss Log Scale
mIoU Progression
mIoU climbed steadily from near-zero to a peak of 0.94 at epoch 50.
mIoU Curve
Loss vs mIoU — Joint Dynamics
Loss vs mIoU
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 |
Final Class IoU
Per-Class IoU — Radar Chart
Radar Chart
Per-Class IoU — Heatmap Across Training
IoU Heatmap
Per-Class IoU at Each Checkpoint
Epoch 10
Epoch 10
Epoch 20
Epoch 20
Epoch 30
Epoch 30
Epoch 40
Epoch 40
Epoch 50 (Final)
Epoch 50
Per-Class IoU Progression (All Classes)
Class IoU Progression
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
Sources
1 source
Sources
1 sourceVerified Sep 15
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- 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
Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Repo yashasf/udbhavthon
