mirror of
https://github.com/open-mmlab/mmclassification.git
synced 2025-06-02 23:48:55 +08:00
7977dc8e2d
* Update tnt config * Rename config files * Update docs * Update metafile in dev_scripts * Fix some files * Remove fp16 metafile and README. * Fix names in metafiles.
35 lines
1.1 KiB
YAML
35 lines
1.1 KiB
YAML
Collections:
|
|
- Name: MobileNet V2
|
|
Metadata:
|
|
Training Data: ImageNet-1k
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Epochs: 300
|
|
Batch Size: 256
|
|
Architecture:
|
|
- MobileNet V2
|
|
Paper:
|
|
URL: https://arxiv.org/abs/1801.04381
|
|
Title: "MobileNetV2: Inverted Residuals and Linear Bottlenecks"
|
|
README: configs/mobilenet_v2/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/mobilenet_v2.py#L101
|
|
Version: v0.15.0
|
|
|
|
Models:
|
|
- Name: mobilenet-v2_8xb32_in1k
|
|
Metadata:
|
|
FLOPs: 319000000
|
|
Parameters: 3500000
|
|
In Collection: MobileNet V2
|
|
Results:
|
|
- Dataset: ImageNet-1k
|
|
Metrics:
|
|
Top 1 Accuracy: 71.86
|
|
Top 5 Accuracy: 90.42
|
|
Task: Image Classification
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v2/mobilenet_v2_batch256_imagenet_20200708-3b2dc3af.pth
|
|
Config: configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.py
|