Chess Piece Detection YOLO11n

Model Description

YOLO11n model optimized for detecting and classifying chess pieces on a board.

Classes

• White pieces: Pawn, Knight, Bishop, Rook, Queen, King
• Black pieces: pawn, knight, bishop, rook, queen, king

Performance

• Input Size: 416x416
• Architecture: YOLO11n
• Optimized: Enhanced GPU training with smart filtering

Usage

from ultralytics import YOLO

model = YOLO("yamero999/chess-piece-detection-yolo11n")
results = model("chess_board.jpg", imgsz=416, conf=0.5)

Training

Trained on diverse chess piece datasets with various board styles, lighting, and angles.