Prediction using Image Classification Model - ImageNet Database

Predicts the object in the captured image using a trained model

ML Libraries used

• TensorFlowJS
• Mobinet

How this works

• The model is loaded from the from the Library
• The image is captured by the device camera
• The image is converted to a tensor
• The tensor is passed to the model
• The model outputs the predicted object

Issues in v1

• The first prediction takes longer time to be completed because the model is loaded from the library for the first time
• Could not cache the model using service worker because it depends on other online resources
• Passess 100% of the lighthouse audit except for the Performance because the model is loaded from the library

Install it as PWA

Enjoy!