Object detection using several images

1. How many images do you need for object detection?
2. Can Yolo detect multiple objects?
3. What is multi object detection?

How many images do you need for object detection?

For each label you must have at least 10 images, each with at least one annotation (bounding box and the label). However, for model training purposes it's recommended you use about 1000 annotations per label. In general, the more images per label you have the better your model will perform.

Can Yolo detect multiple objects?

Q2: Single model, since YOLO is capable of object detection with multiple classes without sacrificing much speed and accuracy.

What is multi object detection?

The Multi-Object Detection Template allows you create a machine learning model that detects certain objects on the screen, bring it to Lens Studio and run different effects based on the ML model output.