38 lines
1.3 KiB
YAML
38 lines
1.3 KiB
YAML
Collections:
|
|
- Name: Inception V3
|
|
Metadata:
|
|
Training Data: ImageNet-1k
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Epochs: 100
|
|
Batch Size: 256
|
|
Architecture:
|
|
- Inception
|
|
Paper:
|
|
URL: http://arxiv.org/abs/1512.00567
|
|
Title: "Rethinking the Inception Architecture for Computer Vision"
|
|
README: configs/inception_v3/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/inception_v3/metafile.yml
|
|
Version: v1.0.0rc1
|
|
|
|
Models:
|
|
- Name: inception-v3_3rdparty_8xb32_in1k
|
|
Metadata:
|
|
FLOPs: 5745177632
|
|
Parameters: 23834568
|
|
In Collection: Inception V3
|
|
Results:
|
|
- Task: Image Classification
|
|
Dataset: ImageNet-1k
|
|
Metrics:
|
|
Top 1 Accuracy: 77.57
|
|
Top 5 Accuracy: 93.58
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/inception-v3/inception-v3_3rdparty_8xb32_in1k_20220615-dcd4d910.pth
|
|
Config: configs/inception_v3/inception-v3_8xb32_in1k.py
|
|
Converted From:
|
|
Weights: https://download.pytorch.org/models/inception_v3_google-0cc3c7bd.pth
|
|
Code: https://github.com/pytorch/vision/blob/main/torchvision/models/inception.py#L28
|