Tutorial by Examples

Caffe has a build-in input layer tailored for image classification tasks (i.e., single integer label per input image). This input "Data" layer is built upon an lmdb or leveldb data structure. In order to use "Data" layer one has to construct the data structure with all training d...

In addition to image classification datasets, Caffe also have "HDF5Data" layer for arbitrary inputs. This layer requires all training/validation data to be stored in hdf5 format files. This example shows how to use python h5py module to construct such hdf5 file and how to setup caffe &quo...