@abhyantrika , hope you are doing great. I have a question on "how to train the deep sort model using custom dataset" . Let's say, I have 3 classes namely car, motorbike, bus.
I have a doubt about creating the folders here.

|__car
|    |__car_image1.jpg
|    |__car_image2.jpg
|    |__car_image3.jpg
|__bus
|    |__bus_image1.jpg
|    |__bus_image2.jpg
|    |__bus_image3.jpg
|__motorbike
|    |__motorbike_image1.jpg
|    |__motorbike_image2.jpg
|    |__motorbike_image3.jpg

I have another doubt when I downloaded the example from this repository under the crops folder there are 329 folders and each folder contains samples of the same car images at a different angle. Here my questions raise, do we need to create a folder for each and every car like a separate folder green colour car and place the images of the green colour car inside it. And a separate folder for red colour car and place the images of the red colour car inside it. should it be like the below folder structure?

|__car
|    |_green_car
|    |  |__green_car_image1.jpg
|    |  |__green_car_image2.jpg
|    |  |__green_image3.jpg
|    |_red_car
|    |  |__red_car_image1.jpg
|    |  |__red_car_image2.jpg
|    |  |__red_car_image3.jpg

Last question, what would be the minimum number of images to be considered for each class?