Arulsj/chess-piece-detection-yolo11n
By Arulsj · ↓ 8 · ♥ 0 · Updated 2026-02-17
What's in this repo
This page lists the files in Arulsj/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 2026-02-17
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
Created: 2026-02-17
Updated: 2026-02-17
View on Hugging FaceFiles (6)
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