hey guys,
I have a problem. when I train the Imagenet with my own Dataset i get accuracy about 0.6-0.7.
but when I run test on example image, like:
./build/examples/cpp_classification/classification.bin
models/bvlc_reference_caffenet/deploy.prototxt
models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
data/ilsvrc12/imagenet_mean.binaryproto
data/ilsvrc12/synset_words.txt
examples/images/cat.jpg
I get always the same numbers of accuracy! (I have 2 outputs 0 & 1).
what am I doing wrong? my data set wrong? my synset_words.txt wrong?
thanks for helping.
Zeev