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Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
A simpler solution in my mind would just be Google's Teachable Machine - https://teachablemachine.withgoogle.com
Have you seen Roboflow Universe? They have thousands of projects from their community already labeled for download and use. I always start there when I want t to start a new model. Recently for my trash picking up robot I found a good litter dataset to start from. https://universe.roboflow.com/