Unfortunately, for many hyper-specific use-cases (eg examining the output of microchip lithography) or identifying things invented since CLIP was trained in 2020 (for example, the unique characteristics of CLIP+VQGAN creations), CLIP isn't capable of performing well out of the box for all problems. It should be possible to extend CLIP (essentially using it as a fantastic checkpoint for transfer learning) with additional data.
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