An easy project to classify image with tensorflow using inception v3
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Latest commit aeb0f4c Jun 19, 2017


this project is just an helper with docker images based on tutorial from


  • docker !
  • git clone this project in a directory


You just need to make a "classifier" directory with a directory "data" inside it with all your images For example


and then put your image on it. This "classifier" directory will have your samples but also trained classifier after execution of "".

##Train process

Just type

 ./ [any_path]/my_own_classifier

And it will do anything for you !

##Guess process

Just type for a single guess

 ./ [any_path]/my_own_classifier /yourfile.jpg

To guess an entire directory

./ [any_path]/classifier [any_path]/srcDir [any_path]/destDir

Example of result

# ./ /synced/tensor-lib/moto-classifier/ /synced/imagesToTest/moto21.jpg
moto (score = 0.88331)
car (score = 0.11669)


Use absolute file path for classifier and images because for the moment my script do not support relative path (volume mounting)