Dog_Breed_Identifier

End to End Multi-class Dog Breed Classification

This notebook builds an end-to-end multi-class image classifier using TensorFlow 2.0 and TensorFlow Hub

1. Problem

Identifying the breed of a dog, given the image of a dog.

2. Data

You are provided with a training set and a test set of images of dogs. Each image has a filename that is its unique id. The dataset comprises 120 breeds of dogs. The goal of the competition is to create a classifier capable of determining a dog's breed from a photo. The list of breeds is as follows:

affenpinscher afghan_hound african_hunting_dog airedale american_staffordshire_terrier appenzeller australian_terrier basenji basset beagle bedlington_terrier bernese_mountain_dog black-and-tan_coonhound blenheim_spaniel bloodhound bluetick border_collie border_terrier borzoi boston_bull bouvier_des_flandres boxer brabancon_griffon briard brittany_spaniel bull_mastiff cairn cardigan chesapeake_bay_retriever chihuahua chow clumber cocker_spaniel collie curly-coated_retriever dandie_dinmont dhole dingo doberman english_foxhound english_setter english_springer entlebucher eskimo_dog flat-coated_retriever french_bulldog german_shepherd german_short-haired_pointer giant_schnauzer golden_retriever gordon_setter great_dane great_pyrenees greater_swiss_mountain_dog groenendael ibizan_hound irish_setter irish_terrier irish_water_spaniel irish_wolfhound italian_greyhound japanese_spaniel keeshond kelpie kerry_blue_terrier komondor kuvasz labrador_retriever lakeland_terrier leonberg lhasa malamute malinois maltese_dog mexican_hairless miniature_pinscher miniature_poodle miniature_schnauzer newfoundland norfolk_terrier norwegian_elkhound norwich_terrier old_english_sheepdog otterhound papillon pekinese pembroke pomeranian pug redbone rhodesian_ridgeback rottweiler saint_bernard saluki samoyed schipperke scotch_terrier scottish_deerhound sealyham_terrier shetland_sheepdog shih-tzu siberian_husky silky_terrier soft-coated_wheaten_terrier staffordshire_bullterrier standard_poodle standard_schnauzer sussex_spaniel tibetan_mastiff tibetan_terrier toy_poodle toy_terrier vizsla walker_hound weimaraner welsh_springer_spaniel west_highland_white_terrier whippet wire-haired_fox_terrier yorkshire_terrier

File descriptions

train.zip - the training set, you are provided the breed for these dogs
test.zip - the test set, you must predict the probability of each breed for each image
sample_submission.csv - a sample submission file in the correct format
labels.csv - the breeds for the images in the train set

Data is available in this competition

3. Evaluation

Submissions are evaluated on Multi Class Log Loss between the predicted probability and the observed target.

4. Features

This is unstructured data, since we're dealing with images here, so it is a deep learning problem.

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