Deep Learning-Driven Object Detection of Chess Pieces for Precise Robotic Moves and Game Notation
Author:
Affiliation:
1. College of Computing Sciences, Ifugao State University,Ifugao,Philippines
2. Digital Transformation Center, Batangas State University - TNEU,Batangas City,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10590066/10590003/10590209.pdf?arnumber=10590209
Reference15 articles.
1. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
2. Methods for location and recognition of chess pieces based on machine vision
3. LCA-YOLOv8-Seg: An Improved Lightweight YOLOv8-Seg for Real-Time Pixel-Level Crack Detection of Dams and Bridges
4. An Intelligent Chess Piece Detection Tool
5. Few-shot object detection model based on transfer learning and convolutional neural network
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