Color-Classification-CNN
Color-Classification-CNN copied to clipboard
beerboaa
color recognition (convolutional neural network implemented in Keras)
Run your code but it give error on ln: 136 & 115. No such file or directory: 'train/' , kindly tell the technique i have run color_net_training.py file.
Your implementation use an input size of (224, 224, 3) but the paper says they use (227, 227, 3).
Your implementation use 5 epochs. The paper says that they used 200000 iterations. The training set is composed of 7799 images. Using a batch size of 32 this would be...
Your implementation uses Batch Normalization but in the paper is said that the network use Local Response Normalization.
Validation accuracy reached over 95% by epoch 5 during training. However, I'm only able to reach 54% while inferencing. Please find the code I use for getting model output below...
I ran the code but GPU is not been used i have installed tensorflow-gpu==1.14.0 and keras==2.2.4. Anyone noticed the same problem or solved it ?
Where I can find the labeled data set of colored cars?
