Try mobile object detection by machine learning (YOLOv5) in 5 minutes
Super-easy to detect objects in images (Object Detection)
Object detection that returns the position of where the object is in the image.
YOLO v5 is a model announced in 2020 that claims high speed and high accuracy.
In this article I’ll use it in 5 minutes.
Is machine learning difficult?
When it comes to machine learning and AI, don’t you feel like a noble data scientist is doing it?
We are interested, but it seems like learning costs will be high.
Ready-to-use mobile machine learning models with CoreML models
However, when we try it, it’s easy.
Here, we will try to detect objects in your image with a learned model of Apple’s machine learning framework called CoreML.
The CoreML model can be used with just a few lines of code.
In other words, this YOLO v5 model detects objects just by dropping an image in the model file .
Can also be used in apps
The CoreML model can also be incorporated into your app . You can easily create an object detection application.
Procedure that can be done in 5 minutes
- Download the YOLO v5 CoreML model from CoreML-Models .
2. Open the model file, press the Preview tab and drop the image.
