Collections: - Name: EfficientNet Metadata: Training Data: ImageNet-1k Architecture: - 1x1 Convolution - Average Pooling - Convolution - Dense Connections - Dropout - Inverted Residual Block - RMSProp - Squeeze-and-Excitation Block - Swish Paper: URL: https://arxiv.org/abs/1905.11946v5 Title: "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" README: configs/efficientnet/README.md Code: Version: v0.20.1 URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/efficientnet.py Models: - Name: efficientnet-b0_3rdparty_8xb32_in1k Metadata: FLOPs: 16481180 Parameters: 5288548 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 76.74 Top 5 Accuracy: 93.17 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32_in1k_20220119-a7e2a0b1.pth Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b0.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b0_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 16481180 Parameters: 5288548 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 77.26 Top 5 Accuracy: 93.41 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa_in1k_20220119-8d939117.pth Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b0.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 16481180 Parameters: 5288548 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 77.53 Top 5 Accuracy: 93.61 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k_20220119-26434485.pth Config: configs/efficientnet/efficientnet-b0_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b0.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b1_3rdparty_8xb32_in1k Metadata: FLOPs: 27052224 Parameters: 7794184 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 78.68 Top 5 Accuracy: 94.28 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32_in1k_20220119-002556d9.pth Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b1.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b1_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 27052224 Parameters: 7794184 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 79.20 Top 5 Accuracy: 94.42 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa_in1k_20220119-619d8ae3.pth Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b1.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 27052224 Parameters: 7794184 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 79.52 Top 5 Accuracy: 94.43 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k_20220119-5715267d.pth Config: configs/efficientnet/efficientnet-b1_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b1.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b2_3rdparty_8xb32_in1k Metadata: FLOPs: 34346386 Parameters: 9109994 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 79.64 Top 5 Accuracy: 94.80 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32_in1k_20220119-ea374a30.pth Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b2.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b2_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 34346386 Parameters: 9109994 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 80.21 Top 5 Accuracy: 94.96 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa_in1k_20220119-dd61e80b.pth Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b2.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 34346386 Parameters: 9109994 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 80.45 Top 5 Accuracy: 95.07 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k_20220119-1655338a.pth Config: configs/efficientnet/efficientnet-b2_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b2.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b3_3rdparty_8xb32_in1k Metadata: FLOPs: 58641904 Parameters: 12233232 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 81.01 Top 5 Accuracy: 95.34 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32_in1k_20220119-4b4d7487.pth Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b3.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b3_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 58641904 Parameters: 12233232 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 81.58 Top 5 Accuracy: 95.67 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k_20220119-5b4887a0.pth Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b3.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 58641904 Parameters: 12233232 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 81.81 Top 5 Accuracy: 95.69 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k_20220119-53b41118.pth Config: configs/efficientnet/efficientnet-b3_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b3.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b4_3rdparty_8xb32_in1k Metadata: FLOPs: 121870624 Parameters: 19341616 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.57 Top 5 Accuracy: 96.09 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32_in1k_20220119-81fd4077.pth Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b4.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b4_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 121870624 Parameters: 19341616 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.95 Top 5 Accuracy: 96.26 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa_in1k_20220119-45b8bd2b.pth Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b4.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 121870624 Parameters: 19341616 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.25 Top 5 Accuracy: 96.44 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k_20220119-38c2238c.pth Config: configs/efficientnet/efficientnet-b4_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b4.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b5_3rdparty_8xb32_in1k Metadata: FLOPs: 243879440 Parameters: 30389784 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.18 Top 5 Accuracy: 96.47 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32_in1k_20220119-e9814430.pth Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b5.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b5_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 243879440 Parameters: 30389784 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.82 Top 5 Accuracy: 96.76 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa_in1k_20220119-2cab8b78.pth Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b5.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 243879440 Parameters: 30389784 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 84.21 Top 5 Accuracy: 96.98 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k_20220119-f57a895a.pth Config: configs/efficientnet/efficientnet-b5_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b5.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b6_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 412002408 Parameters: 43040704 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 84.05 Top 5 Accuracy: 96.82 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty_8xb32-aa_in1k_20220119-45b03310.pth Config: configs/efficientnet/efficientnet-b6_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b6.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b6_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 412002408 Parameters: 43040704 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 84.74 Top 5 Accuracy: 97.14 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty_8xb32-aa-advprop_in1k_20220119-bfe3485e.pth Config: configs/efficientnet/efficientnet-b6_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b6.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b7_3rdparty_8xb32-aa_in1k Metadata: FLOPs: 715526512 Parameters: 66347960 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 84.38 Top 5 Accuracy: 96.88 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty_8xb32-aa_in1k_20220119-bf03951c.pth Config: configs/efficientnet/efficientnet-b7_8xb32_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b7.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b7_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 715526512 Parameters: 66347960 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 85.14 Top 5 Accuracy: 97.23 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty_8xb32-aa-advprop_in1k_20220119-c6dbff10.pth Config: configs/efficientnet/efficientnet-b7_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b7.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet - Name: efficientnet-b8_3rdparty_8xb32-aa-advprop_in1k Metadata: FLOPs: 1092755326 Parameters: 87413142 In Collections: EfficientNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 85.38 Top 5 Accuracy: 97.28 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b8_3rdparty_8xb32-aa-advprop_in1k_20220119-297ce1b7.pth Config: configs/efficientnet/efficientnet-b8_8xb32-01norm_in1k.py Converted From: Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b8.tar.gz Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet