Logo detection and brand recognition

Usage

1. python crop_and_aug.py: Crop brand logo images from the flickr27_logos_dataset and apply data augmentation method. Finally the dataset consists of 217488 images.
2. python gen_train_valid_test.py: Generate(Split) train/valid/test set from the dataset.
3. python train_deep_logo_cnn.py: Train the convolutional neural networks and save the trained model to disk.
4. python test_deep_logo_cnn.py: Test the trained model.

Reference: https://github.com/satojkovic/DeepLogo