WhatDog

1.0 8

v1.0 by Arjun Sunil

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WhatDog(Alpha)

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About WhatDog(Alpha)

WhatDog(Alpha) (Package Name: com.omegadevs.whatdog) is developed by Arjun Sunil and the latest version of WhatDog 1.0 was updated on July 9, 2017. WhatDog is in the category of Books & Reference. You can check all apps from the developer of WhatDog and find 39 alternative apps to WhatDog on Android. Currently this app is for free. This app can be downloaded on Android 5.0+ on APKFab or Google Play. All APK/XAPK files on APKFab.com are original and 100% safe with fast download.

WhatDog tells you the species of the dog in real-time and how confident it is using advanced Machine Learning and Image Recognition technologies.
Everything occurs in real time on the device, nothing is ever sent to a server.
So rest assured, your data is safe with you.
If you have a pure breed that isn't getting detected, do send me over few photos and I'll train the app to detect your breed, provided it is a pure-breed.
The app requires Camera Permissions and File Access Permissions to run, so without those, it wouldn't work properly.
Supported Species:
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
PSA: Only pure breed dogs will work properly.
Currently, 120 Species are supported, hence the app size is quite large and this is based on the Tensorflow Example available on Github.
Credits:
Icons made by Freepik
from http://www.flaticon.com
licensed under Creative Commons BY 3.0
Dataset Reference
Primary:
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao and Li Fei-Fei. Novel dataset for Fine-Grained Image Categorization.First Workshop on Fine-Grained Visual Categorization (FGVC), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
Secondary:
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei, ImageNet: A Large-Scale Hierarchical Image Database. IEEE Computer Vision and Pattern Recognition (CVPR), 2009.