Model card for tf efficientnetv2 xl.in21k ft in1k A EfficientNet v2 image classification model. Trained on ImageNet 21k and fine tuned on ImageNet 1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 208.1 GMACs: 52.8 Activations (M): 139.2 Image size: train = 384 x 384, test = 512 x 512 Papers: EfficientNetV2: Smaller Models and Faster Training: https://arxiv.org/abs/2104.00298 Dataset: ImageNet 1k Pretrain Dataset: ImageNet 21k 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
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy