yamero999/chess-board-segmentation-v6

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

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.