Is this even a valid card? Zero-shot image classification model in a lambda container
No training, no training data and no GPU. This classifier's whole brain is a list of English sentences I typed by hand - and I can teach it a new card type by writing one more. Introduction In Previous article , I walked through the whole pipeline that turns a crooked phone photo of a collectible AWS Builder Card into a published page. That pipeline goes like this: Pre-signed upload Cheap image…
This article discusses how to use a zero-shot image classification model in a lambda container to determine if an uploaded image is a valid AWS Builder Card. The classifier is a pre-trained CLIP model that compares an uploaded image against a fixed set of labels and scores how closely it matches each label. This allows the classifier to identify AWS Builder Cards without any training data or GPU resources.
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