MarDCT Maritime Detection, Classification and Tracking data set Can be downladed from: http://www.dis.uniroma1.it/~labrococo/MAR/classification.htm
Image classification problem with 21 boat categories, with provided train and test set. Several approaches were evaluated, mainly based on Convolutional neural networks (CNN), with Tensorflow, Keras, and Scikit-learn. To reproduce results, the dataset must be downloaded in the same folder, and follow the steps depicted on HW2-PrepareData.ipynb. Subsequently, HW2-ProcessData.ipynb can be processed.
https://www.learnopencv.com/keras-tutorial-fine-tuning-using-pre-trained-models/ https://gogul09.github.io/software/image-classification-python https://www.tensorflow.org/tutorials/keras/basic_classification https://keras.io/