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metafile.yml
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Collections:
- Name: ConvNeXt
Metadata:
Training Data: ImageNet-1k
Architecture:
- 1x1 Convolution
- LayerScale
Paper:
URL: https://arxiv.org/abs/2201.03545v1
Title: A ConvNet for the 2020s
README: configs/convnext/README.md
Code:
Version: v0.20.1
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/convnext.py
Models:
- Name: convnext-tiny_32xb128_in1k
Metadata:
FLOPs: 4457472768
Parameters: 28589128
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.14
Top 5 Accuracy: 96.06
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-tiny_32xb128_in1k_20221207-998cf3e9.pth
Config: configs/convnext/convnext-tiny_32xb128_in1k.py
- Name: convnext-tiny_32xb128-noema_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 4457472768
Parameters: 28589128
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.95
Top 5 Accuracy: 95.89
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-tiny_32xb128-noema_in1k_20221208-5d4509c7.pth
Config: configs/convnext/convnext-tiny_32xb128_in1k.py
- Name: convnext-tiny_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 4457472768
Parameters: 28589128
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.90
Top 5 Accuracy: 96.62
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-tiny_in21k-pre_3rdparty_in1k_20221219-7501e534.pth
Config: configs/convnext/convnext-tiny_32xb128_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_tiny_22k_1k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-tiny_in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 13135236864
Parameters: 28589128
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.11
Top 5 Accuracy: 97.14
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-tiny_in21k-pre_3rdparty_in1k-384px_20221219-c1182362.pth
Config: configs/convnext/convnext-tiny_32xb128_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_tiny_22k_1k_384.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-small_32xb128_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 8687008512
Parameters: 50223688
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.16
Top 5 Accuracy: 96.56
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_32xb128_in1k_20221207-4ab7052c.pth
Config: configs/convnext/convnext-small_32xb128_in1k.py
- Name: convnext-small_32xb128-noema_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 8687008512
Parameters: 50223688
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.21
Top 5 Accuracy: 96.48
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_32xb128-noema_in1k_20221208-4a618995.pth
Config: configs/convnext/convnext-small_32xb128_in1k.py
- Name: convnext-small_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 8687008512
Parameters: 50223688
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.59
Top 5 Accuracy: 97.41
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth
Config: configs/convnext/convnext-small_32xb128_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_small_22k_1k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-small_in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 25580818176
Parameters: 50223688
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.75
Top 5 Accuracy: 97.88
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k-384px_20221219-96f0bb87.pth
Config: configs/convnext/convnext-small_32xb128_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_small_22k_1k_384.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-base_32xb128_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 15359124480
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.66
Top 5 Accuracy: 96.74
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_32xb128_in1k_20221207-fbdb5eb9.pth
Config: configs/convnext/convnext-base_32xb128_in1k.py
- Name: convnext-base_32xb128-noema_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 15359124480
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.64
Top 5 Accuracy: 96.61
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_32xb128-noema_in1k_20221208-f8182678.pth
Config: configs/convnext/convnext-base_32xb128_in1k.py
- Name: convnext-base_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 15359124480
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.85
Top 5 Accuracy: 96.74
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_3rdparty_32xb128_in1k_20220124-d0915162.pth
Config: configs/convnext/convnext-base_32xb128_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_base_1k_224_ema.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-base_3rdparty-noema_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 15359124480
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.71
Top 5 Accuracy: 96.60
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_3rdparty_32xb128-noema_in1k_20220222-dba4f95f.pth
Config: configs/convnext/convnext-base_32xb128_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_base_1k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-base_3rdparty_in1k-384px
Metadata:
Training Data: ImageNet-1k
FLOPs: 45205885952
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.10
Top 5 Accuracy: 97.34
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_3rdparty_in1k-384px_20221219-c8f1dc2b.pth
Config: configs/convnext/convnext-base_32xb128_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_base_1k_384.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-base_3rdparty_in21k
Metadata:
Training Data: ImageNet-21k
FLOPs: 15359124480
Parameters: 88591464
In Collection: ConvNeXt
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_3rdparty_in21k_20220124-13b83eec.pth
Config: configs/convnext/convnext-base_32xb128_in21k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-base_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 15359124480
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.81
Top 5 Accuracy: 97.86
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_in21k-pre-3rdparty_32xb128_in1k_20220124-eb2d6ada.pth
Config: configs/convnext/convnext-base_32xb128_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_1k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-base_in21k-pre-3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 45205885952
Parameters: 88591464
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.82
Top 5 Accuracy: 98.25
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-base_in21k-pre-3rdparty_in1k-384px_20221219-4570f792.pth
Config: configs/convnext/convnext-base_32xb128_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_1k_384.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-large_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 34368026112
Parameters: 197767336
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.30
Top 5 Accuracy: 96.89
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-large_3rdparty_64xb64_in1k_20220124-f8a0ded0.pth
Config: configs/convnext/convnext-large_64xb64_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_large_1k_224_ema.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-large_3rdparty_in1k-384px
Metadata:
Training Data: ImageNet-1k
FLOPs: 101103214080
Parameters: 197767336
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.50
Top 5 Accuracy: 97.59
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-large_3rdparty_in1k-384px_20221219-6dd29d10.pth
Config: configs/convnext/convnext-large_64xb64_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_large_1k_384.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-large_3rdparty_in21k
Metadata:
Training Data: ImageNet-21k
FLOPs: 34368026112
Parameters: 197767336
In Collection: ConvNeXt
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-large_3rdparty_in21k_20220124-41b5a79f.pth
Config: configs/convnext/convnext-large_64xb64_in21k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-large_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 34368026112
Parameters: 197767336
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.61
Top 5 Accuracy: 98.04
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-large_in21k-pre-3rdparty_64xb64_in1k_20220124-2412403d.pth
Config: configs/convnext/convnext-large_64xb64_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_1k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-large_in21k-pre-3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 101103214080
Parameters: 197767336
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 87.46
Top 5 Accuracy: 98.37
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-large_in21k-pre-3rdparty_in1k-384px_20221219-6d38dd66.pth
Config: configs/convnext/convnext-large_64xb64_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_1k_384.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-xlarge_3rdparty_in21k
Metadata:
Training Data: ImageNet-21k
FLOPs: 60929820672
Parameters: 350196968
In Collection: ConvNeXt
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-xlarge_3rdparty_in21k_20220124-f909bad7.pth
Config: configs/convnext/convnext-xlarge_64xb64_in21k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_224.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-xlarge_in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 60929820672
Parameters: 350196968
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.97
Top 5 Accuracy: 98.20
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-xlarge_in21k-pre-3rdparty_64xb64_in1k_20220124-76b6863d.pth
Config: configs/convnext/convnext-xlarge_64xb64_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_1k_224_ema.pth
Code: https://github.com/facebookresearch/ConvNeXt
- Name: convnext-xlarge_in21k-pre-3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 179196798976
Parameters: 350196968
In Collection: ConvNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 87.76
Top 5 Accuracy: 98.55
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-xlarge_in21k-pre-3rdparty_in1k-384px_20221219-b161bc14.pth
Config: configs/convnext/convnext-xlarge_64xb64_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_1k_384_ema.pth
Code: https://github.com/facebookresearch/ConvNeXt