Image Classification using TFlite Model from Firebase AutoML
Step 1:
Install Python via Anaconda (if possible, so that most needed packages are already pre-installed)
https://www.anaconda.com/products/individual
Step 2:
Follow the Tutorial on my Youtube Video for easier step by step annotations.
But Basically:
- Gather Data (Images)
- Put the data into their respective folder with the folder name as the label name like this:
my_training_data.zip
|____accordion
| |____001.jpg
| |____002.jpg
| |____003.jpg
|____bass_guitar
| |____hofner.gif
| |____p-bass.png
|____clavier
|____well-tempered.jpg
|____well-tempered (1).jpg
|____well-tempered (2).jpg
- Zip the data set
- Upload to Firebase AUTOML
- Train
- Download the resulting Model if happy with the results
- Then use the Model using the sample code given in this repository