I build a library for using TensorFlows shared models in Java, and running inference on them. I saw a lot of people struggling with inference in Java, so I created Java-TF.
Manage and load different saved models
Run inference on Images and return detections in a custom Model
Cut out the images and give them back in a List
Draw bounding boxes around Detections, with scores, colors and classes
Thanks for sharing @preafixed , I think the title of your project is a bit misleading though, as “Java-TF” is basically a wrapper of “TF Java” but specialized for image detections, am I correct?
ML Kit can object in each image, get their respective location but for detailed documentation that includes code sample and see the evaluate and iterate autoML images objection detection model.