[[image_embedding:top|<< Image Embedding Project Page]]

====Datasets====
Fine-grained image classification
  *[[https://ai.stanford.edu/~jkrause/cars/car_dataset.html | Stanford Car Dataset]] : 16,185 images of 196 classes, annotated by Made, Model, Year
  *[[http://www.vision.caltech.edu/visipedia/CUB-200.html | Caltech-UCSD Bird Dataset]] : 11788 bird images of 200 species in a 4-level taxonomy hierarchy 

Image retrieval 
  *[[http://www.image-net.org | ImageNet]] : large image classification dataset with WordNet labels
  *[[http://cvgl.stanford.edu/projects/lifted_struct/ | Stanford Product Dataset]] : Ebay product images (120,053 images of 22,634 classes)
  *[[https://www.getnexar.com/challenge-2/ | NEXET Challenge]] : annotated road images in different environment (primarily for vehicle detection)