Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

It is an application of deep learning and fully convolutional neural network that attempts to replicate the basic techniques used by professional restorators. After the user selects the regions to be restored, the algorithm automatically fills-in these regions with information surrounding them. The fill-in is done in such a way that isophote lin…

Places2 (A Large-Scale Database for Scene Understanding Deep Learning Project) Dot Net Api

Python code for re-arranging Places2-large dataset

MIT Miniplaces challenge