| license: apache-2.0 | |
| tags: | |
| - chess | |
| - segmentation | |
| - unet | |
| - computer-vision | |
| pipeline_tag: image-segmentation | |
| # Chess Board Segmentation V6 | |
| ## Model Description | |
| Breakthrough V6 UNet model for precise chess board segmentation and boundary detection. | |
| ## Performance | |
| - **Dice Score**: 0.9391 | |
| - **Input Size**: 256x256 | |
| - **Architecture**: Custom UNet V6 with 32 base channels | |
| ## Usage | |
| ```python | |
| import torch | |
| from transformers import AutoModel | |
| model = AutoModel.from_pretrained("yamero999/chess-board-segmentation-v6") | |
| # Process 256x256 RGB images | |
| ``` | |
| ## Training | |
| Trained on diverse chess board images with various angles, lighting conditions, and board styles. | |