yamero999/chess-piece-detection-yolo11n
By yamero999 · ↓ 11 · ♥ 0 · Updated 2025-05-31
What's in this repo
This page lists the files in yamero999/chess-piece-detection-yolo11n, including best_mobile.onnx.
- 1 ONNX models (.onnx files)
- 6 files, including 1 .md, 1 .pt, 1 .onnx, 1 .json, 1 .bin
- Last updated 2025-05-31
ONNX files
| File | Size | Download |
|---|---|---|
| best_mobile.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
license: apache-2.0 tags:
- chess
- object-detection
- yolo
- pieces pipeline_tag: object-detection
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.
Model info
pytorch
onnx
yolo
chess
object-detection
pieces
license:apache-2.0
region:us
↓ 11
♥ 0
Created: 2025-05-29
Updated: 2025-05-31
View on Hugging FaceFiles (6)
.gitattributes
README.md
best.pt
best_mobile.onnx
ONNX
config.json
pytorch_model.bin