I want to train a model that is able to detect logos or signboards. What should be my mode of training a model for this.
- Upload a dataset and annotate according to my company logos.
- Train a model
- Test it and draw inferences
Now, my questions come on the following
- what should be my approach to train a model, is there a roboflow model that I can fine tune against it?
- the models that I train on roboflow, will I be able to use them externally?
- What would be the cost per API call that I will be making? Is there a price per token utilised available like GPT that I can refer to? Like it’s mentioned 0.03$ per 100 API calls, that means I can draw inference for 100 images for 0.03$
- What plan should I buy?