descripción
Usually many people don't know much about their own dogs. This app help them to know more details about it. History, Health care, character and behavior, etc. anything related
with the dog particular breed. - How to use it? Try to hold the camera still, don't move while aiming a dog and wait until the rectangle's lines gets green and the blue number
gets as closer to 1.0 as possible. This number is the level of confidence. Wait for a few seconds, at this point it's trying to get the best guess. It may change a few times
from different breeds until it gets stable and the number of confidence reaches the highs score possible.
How to use it?
Try to hold the camera still, don't move while aiming a dog and wait until the rectangle's lines gets green and the blue number gets as closer to 1.0 as possible. This number is
the level of confidence.
Wait for a few seconds, at this point it's trying to get the best guess. It may change a few times from different breeds until it gets stable and the number of confidence
reaches the highs score possible.
This is a Computer Vision prove of concept App to demonstrate the viability of using powerful Machine Learning Convolutional Neural Networks which can classify amount different
breeds of dogs on mobile device. Using Stanford University dataset breeds of dogs to retrain a Convolutional Neural Network with TensorFlow using Python based in Linux and
optimized to run with Java for Android OS.
with the dog particular breed. - How to use it? Try to hold the camera still, don't move while aiming a dog and wait until the rectangle's lines gets green and the blue number
gets as closer to 1.0 as possible. This number is the level of confidence. Wait for a few seconds, at this point it's trying to get the best guess. It may change a few times
from different breeds until it gets stable and the number of confidence reaches the highs score possible.
How to use it?
Try to hold the camera still, don't move while aiming a dog and wait until the rectangle's lines gets green and the blue number gets as closer to 1.0 as possible. This number is
the level of confidence.
Wait for a few seconds, at this point it's trying to get the best guess. It may change a few times from different breeds until it gets stable and the number of confidence
reaches the highs score possible.
This is a Computer Vision prove of concept App to demonstrate the viability of using powerful Machine Learning Convolutional Neural Networks which can classify amount different
breeds of dogs on mobile device. Using Stanford University dataset breeds of dogs to retrain a Convolutional Neural Network with TensorFlow using Python based in Linux and
optimized to run with Java for Android OS.
Versiones anteriores
- 09/27/2022: Dog Breeds AI 0.4.0
- Report a new version
- Nombre del software: Dog Breeds AI
- Software Categoría: Educación
- Código App: com.pleyaslab.dtf.camdroidtfdogsbreed120
- Versión lastest: 0.4.0
- requisito: 5.0 o superior
- Tamaño del archivo : 99.26 MB
- tiempo de actualización: 2022-09-27
