What's New
v2.3.2
- Updated Target API Level
- Fixed camera permission
v2.3.0
- Updated Tensorflow library
- Internal fixes
About TF Multi Classifier Android App
TF Multi Classifier App uses Tensorflow lite to classify camera frames in real time.
The results are displayed on the top of the screen.
The App supports these processing hardware:
- CPU (all phones)
- NNAPI (requires Android 8.1 or higher)
- GPU (requires OpenGL ES 3.1 or higher)
The App starts with a default google dataset but if you want you can insert a custom dataset.
The defaul dataset is: quantized Mobilenet model (mobilenet_quant_v1_224).
You can download the following datasets from here: http://bit.ly/2BvvDNT
- Dog Breed (created with Transfer learning)
- Dog Vs Cat (created with Transfer learning)
- Bird (converted from google pb dataset)
- Insect (converted from google pb dataset)
- Plant (converted from google pb dataset)
- Seefood (converted from google pb dataset)
You can find my tutorial here: http://bit.ly/2V3giK9
NB: For custom App contact me.
Please rate and review so I can make it better!
Other Information:
Download
This version of TF Multi Classifier Android App comes with one universal variant which will work on all the Android devices.
All Versions
If you are looking to download other versions of TF Multi Classifier Android App, We have 7 versions in our database. Please select one of them below to download.
