That’s blatantly untrue. My plant ID app gives multiple suggestions with certainty percentages.
Probably because your app has an actual database of plants to compare with instead of feeding it into an AI.
Edit: The term AI is getting to be a little useless these days. What I meant to say, was it’s not using image recognition as implemented by a multi-modal LLM. It’s using the more traditional machine learning algorithms that came before “Attention is all you need”
Why do you think so, and how do you think the plants are compared without AI?
Image classification/object detection AI (usually) gives you a confidence value for every result. It’s a natural consequence of their architecture.
Weren’t image recognition algorithms like the first types of AI that got good enough to be useful?