Closed NsouzaEastbay closed 4 months ago
A metric to measure is how well the ai is able to differentiate something that is supposed to be there from something that is not.
Another metric is how well it does at identifying what is living and what is not both in and out of motion.
C.2: Metrics: how to measure success metrics/measurables on EACH of your OKRs for your company. Read here about OKRs and Examples -- note Later in Item 4 you will describe experiments you will create to measure the success of your OKRs. It is important to have metrics for each OKR as this helps to functionalize and define what you mean by your OKR and can also help you develop your ideas for C.3 and C.4 below. Your metrics must be explicit. For example, you can NOT say just "customer acceptance". What does this mean? How will you measure this? A better metric would be "customer acceptance measured as the average score from a customer satisfaction survey (range 0% to 100%).