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metafile.yml
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Collections:
- Name: EfficientNetV2
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/2104.00298
Title: "EfficientNetV2: Smaller Models and Faster Training"
README: configs/efficientnet_v2/README.md
Code:
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/efficientnet_v2.py
Version: v1.0.0rc4
Models:
- Name: efficientnetv2-b0_3rdparty_in1k
Metadata:
FLOPs: 919843360
Parameters: 7139704
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 78.52
Top 5 Accuracy: 94.44
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b0_3rdparty_in1k_20221221-9ef6e736.pth
Config: configs/efficientnet_v2/efficientnetv2-b0_8xb32_in1k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b0-c7cc451f.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-b1_3rdparty_in1k
Metadata:
FLOPs: 1438287552
Parameters: 8141052
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 79.80
Top 5 Accuracy: 94.89
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b1_3rdparty_in1k_20221221-6955d9ce.pth
Config: configs/efficientnet_v2/efficientnetv2-b1_8xb32_in1k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b1-be6e41b0.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-b2_3rdparty_in1k
Metadata:
FLOPs: 1986433080
Parameters: 10096086
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 80.63
Top 5 Accuracy: 95.30
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b2_3rdparty_in1k_20221221-74f7d493.pth
Config: configs/efficientnet_v2/efficientnetv2-b2_8xb32_in1k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b2-847de54e.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-b3_3rdparty_in1k
Metadata:
FLOPs: 3498068400
Parameters: 14358406
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.03
Top 5 Accuracy: 95.88
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-b3_3rdparty_in1k_20221221-b6f07a36.pth
Config: configs/efficientnet_v2/efficientnetv2-b3_8xb32_in1k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_b3-57773f13.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-s_3rdparty_in1k
Metadata:
FLOPs: 9719420928
Parameters: 21458488
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.82
Top 5 Accuracy: 96.67
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-s_3rdparty_in1k_20221220-f0eaff9d.pth
Config: configs/efficientnet_v2/efficientnetv2-s_8xb32_in1k-384px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s-eb54923e.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-m_3rdparty_in1k
Metadata:
FLOPs: 26880363584
Parameters: 54139356
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.01
Top 5 Accuracy: 97.26
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-m_3rdparty_in1k_20221220-9dc0c729.pth
Config: configs/efficientnet_v2/efficientnetv2-m_8xb32_in1k-480px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_m-cc09e0cd.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-l_3rdparty_in1k
Metadata:
FLOPs: 60142387008
Parameters: 118515272
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.43
Top 5 Accuracy: 97.31
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-l_3rdparty_in1k_20221220-5c3bac0f.pth
Config: configs/efficientnet_v2/efficientnetv2-l_8xb32_in1k-480px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l-d664b728.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-s_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 9719420928
Parameters: 21458488
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.29
Top 5 Accuracy: 97.26
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-s_in21k-pre-3rdparty_in1k_20221220-7a7c8475.pth
Config: configs/efficientnet_v2/efficientnetv2-s_8xb32_in1k-384px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s_21ft1k-d7dafa41.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-m_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 26880363584
Parameters: 54139356
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.47
Top 5 Accuracy: 97.76
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-m_in21k-pre-3rdparty_in1k_20221220-a1013a04.pth
Config: configs/efficientnet_v2/efficientnetv2-m_8xb32_in1k-480px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_m_21ft1k-bf41664a.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-l_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 60142387008
Parameters: 118515272
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.31
Top 5 Accuracy: 97.99
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-l_in21k-pre-3rdparty_in1k_20221220-63df0efd.pth
Config: configs/efficientnet_v2/efficientnetv2-l_8xb32_in1k-480px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l_21ft1k-60127a9d.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-xl_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 98341230592
Parameters: 208119808
In Collection: EfficientNetV2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.39
Top 5 Accuracy: 97.83
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-xl_in21k-pre-3rdparty_in1k_20221220-583ac18b.pth
Config: configs/efficientnet_v2/efficientnetv2-xl_8xb32_in1k-512px.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_xl_in21ft1k-06c35c48.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-s_3rdparty_in21k
Metadata:
FLOPs: 3309720768
Parameters: 48158371
In Collection: EfficientNetV2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-s_3rdparty_in21k_20221220-c0572b56.pth
Config: configs/efficientnet_v2/efficientnetv2-s_8xb32_in21k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s_21k-6337ad01.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-m_3rdparty_in21k
Metadata:
FLOPs: 5861638208
Parameters: 80839239
In Collection: EfficientNetV2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-m_3rdparty_in21k_20221220-073e944c.pth
Config: configs/efficientnet_v2/efficientnetv2-m_8xb32_in21k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_m_21k-361418a2.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-l_3rdparty_in21k
Metadata:
FLOPs: 13114950464
Parameters: 145215155
In Collection: EfficientNetV2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-l_3rdparty_in21k_20221220-f28f91e1.pth
Config: configs/efficientnet_v2/efficientnetv2-l_8xb32_in21k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l_21k-91a19ec9.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py
- Name: efficientnetv2-xl_3rdparty_in21k
Metadata:
FLOPs: 18855244288
Parameters: 234819691
In Collection: EfficientNetV2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnetv2/efficientnetv2-xl_3rdparty_in21k_20221220-b2c9329c.pth
Config: configs/efficientnet_v2/efficientnetv2-xl_8xb32_in21k.py
Converted From:
Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_xl_in21k-fd7e8abf.pth
Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/efficientnet.py