121 lines
3.5 KiB
YAML
121 lines
3.5 KiB
YAML
Collections:
|
|
- Name: VGG
|
|
Metadata:
|
|
Training Data: ImageNet
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x Xp GPUs
|
|
Epochs: 100
|
|
Batch Size: 256
|
|
Architecture:
|
|
- VGG
|
|
Paper: https://arxiv.org/abs/1409.1556
|
|
README: configs/vgg/README.md
|
|
|
|
Models:
|
|
- Config: configs/vgg/vgg11_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 7630000000
|
|
Parameters: 132860000
|
|
Name: vgg11_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 68.75
|
|
Top 5 Accuracy: 88.87
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg11_batch256_imagenet_20210208-4271cd6c.pth
|
|
- Config: configs/vgg/vgg13_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 11340000000
|
|
Parameters: 133050000
|
|
Name: vgg13_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 70.02
|
|
Top 5 Accuracy: 89.46
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg13_batch256_imagenet_20210208-4d1d6080.pth
|
|
- Config: configs/vgg/vgg16_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 15500000000
|
|
Parameters: 138360000
|
|
Name: vgg16_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 71.62
|
|
Top 5 Accuracy: 90.49
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg16_batch256_imagenet_20210208-db26f1a5.pth
|
|
- Config: configs/vgg/vgg19_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 19670000000
|
|
Parameters: 143670000
|
|
Name: vgg19_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 72.41
|
|
Top 5 Accuracy: 90.8
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg19_bn_batch256_imagenet_20210208-da620c4f.pth
|
|
- Config: configs/vgg/vgg11bn_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 7640000000
|
|
Parameters: 132870000
|
|
Name: vgg11bn_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 70.75
|
|
Top 5 Accuracy: 90.12
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg11_bn_batch256_imagenet_20210207-f244902c.pth
|
|
- Config: configs/vgg/vgg13bn_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 11360000000
|
|
Parameters: 133050000
|
|
Name: vgg13bn_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 72.15
|
|
Top 5 Accuracy: 90.71
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg13_bn_batch256_imagenet_20210207-1a8b7864.pth
|
|
- Config: configs/vgg/vgg16_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 15530000000
|
|
Parameters: 138370000
|
|
Name: vgg16_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 73.72
|
|
Top 5 Accuracy: 91.68
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg16_bn_batch256_imagenet_20210208-7e55cd29.pth
|
|
- Config: configs/vgg/vgg19bn_b32x8_imagenet.py
|
|
In Collection: VGG
|
|
Metadata:
|
|
FLOPs: 19700000000
|
|
Parameters: 143680000
|
|
Name: vgg19bn_b32x8_imagenet
|
|
Results:
|
|
- Dataset: ImageNet
|
|
Metrics:
|
|
Top 1 Accuracy: 74.7
|
|
Top 5 Accuracy: 92.24
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/vgg/vgg19_bn_batch256_imagenet_20210208-da620c4f.pth
|