Model card for resnet50.fb swsl ig1b ft in1k A ResNet B image classification model. This model features: ReLU activations single layer 7x7 convolution with pooling 1x1 convolution shortcut downsample Pretrained on Instagram 1B hashtags dataset using semi weakly supervised learning and fine tuned on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 25.6 GMACs: 4.1 Activations (M): 11.1 Image size: 224 x 224 Papers: Billion scale semi supervised learning for image classification: https://arxiv.org/abs/1905.00546 Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385 Original: https://github.com/facebookresearch/semi supervised ImageNet1K 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. model img size top1 top5 param count gmacs macts img/sec seresnextaa101d 32x8d.sw in12k ft in1k 288 320 86.72 98.17 93.6 35.2 69.7 451 seresnextaa101d 32x8d.sw in12k ft in1k 288 288 86.51 98.08 93.6 28.5 56.4 560 seresnextaa101d 32x8d.sw in12k ft in1k 288 86.49 98.03 93.6 28.5 56.4 557…
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