You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

Previously he’d done an impressive job using OpenCV, even though the algorithm handled non-overlapping cards only. Google’s Inception, however, recognizes partially obscured cards.

TensorFlow also has a broad library of pre-trained models available for use in your projects. Code from the TensorFlow Model Garden provides examples of best practices for training your own models.