run into error when trying to train the network

[Fani1996]

i was going to pick up the training process with .solverstate file, but run into the following problem.

F0816 17:25:53.431728 27270 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: ImageData 
(known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias, Concat, ContrastiveLoss, 
Convolution, Crop, Data, Deconvolution, DenseBlock, Dropout, DummyData, ELU, Eltwise, Embed, 
EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, InfogainLoss,
 InnerProduct, Input, LRN, LSTM, LSTMUnit, Log, MVN, MemoryData, MultinomialLogisticLoss,
 PReLU, Parameter, Pooling, Power, Python, RNN, ReLU, Reduction, Reshape, SPP, Scale, 
Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile)

and in my train.prototxt, i'm using imageData layer instead of Data layer. Still don't know how i can deal with this issue.