How to Make Your Own Image Classifier in Swift!
Ready to unleash the power of machine learning right on your iOS device? In this high-octane episode of *Coding on Crack*, we dive deep into the world of image classification using Core ML! Whether you're a coding newbie or a seasoned pro, you won't want to miss this step-by-step guide on using the ResNet50 model for lightning-fast image analysis.
We'll cover everything from generating and annotating your dataset to training your model and deploying it locally without the hassle of cloud services! Say goodbye to latency and hello to blazing speed! Learn How to deploy Resnet50 Classification Models locally on your iOS Device with out using an API or cloud computing.
Google Colab (Train ResNet & Export CoreML): https://colab.research.google.com/dri...
XCode Project:
https://github.com/DanteAusonio/Compu...
*Timestamps:*
00:00 - Introduction
01:30 - Step 1: Generate and Annotate Your Dataset
05:15 - Step 2: Training the ResNet Model
12:45 - Step 3: Exporting the Model to Core ML
18:00 - Step 4: Running Inference Locally
25:30 - Conclusion and Next Steps