Hi Aditya,

My question is related to multiple object detection in an image.

I have an image which has multiple classes like (car, 2 wheeler, predestrain etc;). How can I detect all these objects along with their bounding boxes and probabilities

How should my training data be like?

1. Assume I have 3 classes. If I make 3 folders (namely car, pedestrain, 2 wheeler) and place all the corresponding images in these folders and follow your blog, will it work in detecting objects in an image that has all the 3 objects(bounding boxes + probabilities. If so, how to modify the code to get the boxes along with classes?
2. Instead, I have an image where I have manually marked the bounding boxes for all the objects(using labelbox) so that I got a .txt file for each image(representing what all objects are present in that image and where are they). (I have images and their corresponding .txt files representing the objects coordinates present in that particular image). Can I use this information in any manner to detect multiple objects in an image? If so, how to modify the code?

Thanks in advance Aditya