resnet added

README.md

@@ -1,13 +1,15 @@
-# Pre-release of Places365-CNNs
+# Release of Places365-CNNs
 We release various convolutional neural networks (CNNs) trained on Places365 to the public. Places365 is the latest subset of [Places2 Database](http://places2.csail.mit.edu). There are two versions of Places365: **Places365-Standard** and **Places365-Challenge**. The train set of Places365-Standard has ~1.8 million images from 365 scene categories, where there are at most 5000 images per category. We have trained various baseline CNNs on the Places365-Standard and released them as below. Meanwhile, the train set of Places365-Challenge has extra 6.2 million images along with all the images of Places365-Standard (so totally ~8 million images), where there are at most 40,000 images per category. Places365-Challenge will be used for the Places2 Challenge 2016 to be held in conjunction with the [ILSVRC](http://www.image-net.org/challenges/LSVRC/) and [COCO](http://mscoco.org/dataset/#overview) joint workshop at [ECCV 2016](http://www.eccv2016.org/). 
 
 The data Places365-Standard and Places365-Challenge are released at [Places2 website](http://places2.csail.mit.edu).
 
 ### Pre-trained CNN models on Places365-Standard:
-* AlexNet: ```deploy_alexnet_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/alexnet_places365.caffemodel]
-* GoogLeNet: ```deploy_googlenet_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/googlenet_places365.caffemodel]
-* VGG16: ```deploy_vgg16_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/vgg16_places365.caffemodel]
-* VGG16-hybrid1365: ```deploy_vgg16_hybrid.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/vgg16_hybrid.caffemodel]
+* AlexNet-places365: ```deploy_alexnet_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/alexnet_places365.caffemodel]
+* GoogLeNet-places365: ```deploy_googlenet_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/googlenet_places365.caffemodel]
+* VGG16-places365: ```deploy_vgg16_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/vgg16_places365.caffemodel]
+* VGG16-hybrid1365: ```deploy_vgg16_hybrid1365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/vgg16_hybrid1365.caffemodel]
+* ResNet152-places365: ```deploy_resnet152_places365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/resnet152_places365.caffemodel] (numeric scores on datasets will be updated soon)
+* ResNet152-hybrid1365: ```deploy_resnet152_hybrid1365.prototxt``` weights:[http://places2.csail.mit.edu/models_places365/resnet152_hybrid1365.caffemodel] (numeric scores on datasets will be updated soon)
 
 The category index file is ```categories_places365.txt```. Here we combine the training set of ImageNet 1.2 million data with Places365-Standard to train VGG16-hybrid1365 model, its category index file is ```categories_hybrid1365.txt```. To download all the files, you could access [here](http://places2.csail.mit.edu/models_places365/)