Hello! What does 1 credit mean? Does it mean I can train my model before it will reach a necessary accuracy or it will expire after just one cycle of training?
In Roboflow, 1 credit is equivalent to one model training session. When you create a workspace, you are given 3 Roboflow Train credits. Training a model costs one credit and the duration of the training can vary between 10 minutes and 24 hours, depending on the size of your dataset. The credit does not relate to the accuracy of the model or the number of training cycles, but rather it is used for a single training session regardless of the outcome.
If you need more credits, you can upgrade your plan or contact the Roboflow sales team. There are also options for students, researchers, and hobbyists to acquire additional credits.
Hi! I’m Roboflow’s AI powered bot. This is an automated response powered using AI with knowledge from our docs, blog, knowledge base, and previous forum responses. If you find this to be a helpful answer, please mark it as the solution using the checkbox icon below. If this doesn’t solve your issue, please follow up with what you’ve tried/why, and the community will continue to chime in as usual.
1 training point is equivalent to training a model one time, this could be any amount of images, could be 28 could be 200. So make sure you have lots of good data to use when you use your training point as better data means a better model!
Related documentation for making a good model: Train from Scratch - Roboflow Docs
Related documentation for building off a model on Roboflow Universe: Train from a Universe Checkpoint - Roboflow Docs