Dog photo recognition using deep learning

Prerequisites

• Deep Learning Training Set
• BVLC GoogleNet Model
  • GoogleNet categories
• chainer neural net library

Results

• chihuahua vs muffin
• dog vs bagel
• labradoodle vs fried chicken
• Sheepdog vs mop
• pug vs loaf
• sharpei vs towel
• sharpei vs croissant
• extra cute dog vs teddy bear

need to classify objects that look strikingly similar but are actually from very different categories using a Convolutional Neural Network (CNN) architecture called VGG19. well-known example is the chihuahua vs. muffin problem.

researchers Enkhtogtokh Togootogtokh, Amarzaya Amartuvshin authored this in arxiv.org.