Model card for tf efficientnet b4.ns jft in1k A EfficientNet image classification model. Trained on ImageNet 1k and unlabeled JFT 300m using Noisy Student semi supervised learning in Tensorflow by paper authors, ported to PyTorch by Ross Wightman. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 19.3 GMACs: 4.5 Activations (M): 49.5 Image size: 380 x 380 Papers: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks: https://arxiv.org/abs/1905.11946 Self training with Noisy Student improves ImageNet classification: https://arxiv.org/abs/1911.04252 Dataset: ImageNet 1k Original: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet 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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