Model card for efficientnet b1.ft in1k A EfficientNet image classification model. Fine tuned on ImageNet 1k from original Tensorflow "SAME" padding weights for use in PyTorch. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 7.8 GMACs: 0.6 Activations (M): 9.4 Image size: train = 224 x 224, test = 256 x 256 Papers: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks: https://arxiv.org/abs/1905.11946 Dataset: ImageNet 1k Original: https://github.com/huggingface/pytorch image models Model Usage Image Classification Feature Map Extraction Image Embeddings Model Comparison Explore the dataset and runtime metrics of this model in timm model results. Citation
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