ViT Base Patch16 - ImageNet Image Classification
A patch-based Transformer counterpart to ResNet. Explore whole-image classification, transfer learning and the difference between image labels and mapped land cover.
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A patch-based Transformer counterpart to ResNet. Explore whole-image classification, transfer learning and the difference between image labels and mapped land cover.
An accessible residual-network baseline for whole-image classification. Includes the genuine provider checkpoint, configuration and processor for a reproducible starting point.
Learn the complete train-and-predict workflow with a small, transparent model and synthetic land-cover samples. Includes Python code, data and a downloadable JSON model.