I’m currently exploring ways to create TensorFlow Lite (TFLite) models directly from datasets and am seeking advice on efficient and user-friendly methods to achieve this. My primary goal is to find an online tool or a straightforward process where I can import image datasets (organized in class-specific folders) and automatically generate a TFLite model without extensive coding.
From my research, I understand that TensorFlow Lite Model Maker might be a viable solution, but I’m curious if there are any online platforms or tools that offer a more streamlined, possibly GUI-based, approach for this task. Here are some specific points I’d like to discuss: