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andrewleeunderwood / repository
Combined computer vision techniques and convolutional neural networks to accurately classify chess pieces and identified their location on a chessboard. Tools: Python, Google Cloud, Keras, TensorFlow, OpenCV, Pillow, Scikit-learn, NumPy, Seaborn, and others
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Combined computer vision techniques and convolutional neural networks to accurately classify chess pieces and identified their location on a chessboard. Tools: Python, Google Cloud, Keras, TensorFlow, OpenCV, Pillow, Scikit-learn, NumPy, Seaborn, and others
Project Published on TowardDataScience.com and Data Science Weekly: https://towardsdatascience.com/board-game-image-recognition-using-neural-networks-116fc876dafa
Original Dataset: https://www.dropbox.com/sh/8s4tvir5zbotseq/AACAQypmuFb6j-Yww9x9Q6Gta?dl=0
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