Model card for mixer l16 224.goog in21k ft in1k A MLP Mixer image classification model. Pretrained on ImageNet 21k and fine tuned on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 208.2 GMACs: 44.6 Activations (M): 41.7 Image size: 224 x 224 Papers: MLP Mixer: An all MLP Architecture for Vision: https://arxiv.org/abs/2105.01601 Original: https://github.com/google research/vision transformers Dataset: ImageNet 1k Pretrain Dataset: ImageNet 21k Model Usage Image Classification Image Embeddings Model Comparison Explore the dataset and runtime metrics of this model in timm model results. Citation
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