This repository contains my exploration and projects using Machine Learning on iOS.
1. XCode with Swift 5+
S.No. | Folder Name | About | Status |
---|---|---|---|
1. | Image Recognition | Take an image from phone and recognize what's in the image using CoreML Model. | Completed |
2. | Vision CoreML | Capture an image from the phone's camera and classify the scene in the image using CoreML. | Completed |
3. | Live Image Classification | Live Image classification using real time camera video input to CoreML using Vision Framework. | Completed |
4. | Flower Classification | Classify different flowers using Caffee model. | Ongoing |
5. | Image to Location | Use a machine learning model to find coordinates of a place in the image and plot them on a map. | Ongoing |
6. | Handwritten Digit Classification | Use machine learning to classify digit drawn on the screen. | Ongoing |
7. | Name Origin Classification | Use a RNN to find people's name's origin language. | Ongoing |
8. | Kitchen Audio Scene Classification | Use Transfer Learning with VGGish model to classify common Kitchen Audio. | Ongoing |
9. | Utterance Intent Classification. | Utterance Intent classification using DNN. | Completed |