Hey, interesting idea! How do you plan to deal with the sparce dataset in models? Let's suppose I have a biomedical dataset of 200 images, is there a minimum dataset requirement?
Hi, Farmify! This is a great question. I have designed it with medical data (among other challenging verticals) in mind too. Infact, one of the medical companies we're working with has exactly the same problem as yours: sparse data. High cost and privacy is deflecting them from what can be said as having better ML models fast. For them, we see what can be the generalised anomalies and scale those anomalies up to a background dataset. This helps us take care of the the limitations of the datasets they already have with them.
Not a minimum dataset requirement for now, but yeah- the more the merrier.
Not a minimum dataset requirement for now, but yeah- the more the merrier.