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- Collections:
- - Name: SSD
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Architecture:
- - VGG
- Paper:
- URL: https://arxiv.org/abs/1512.02325
- Title: 'SSD: Single Shot MultiBox Detector'
- README: configs/ssd/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.14.0/mmdet/models/dense_heads/ssd_head.py#L16
- Version: v2.14.0
- Models:
- - Name: ssd300_coco
- In Collection: SSD
- Config: configs/ssd/ssd300_coco.py
- Metadata:
- Training Memory (GB): 9.9
- inference time (ms/im):
- - value: 22.88
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (300, 300)
- Epochs: 120
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 25.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/ssd/ssd300_coco/ssd300_coco_20210803_015428-d231a06e.pth
- - Name: ssd512_coco
- In Collection: SSD
- Config: configs/ssd/ssd512_coco.py
- Metadata:
- Training Memory (GB): 19.4
- inference time (ms/im):
- - value: 32.57
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (512, 512)
- Epochs: 120
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 29.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/ssd/ssd512_coco/ssd512_coco_20210803_022849-0a47a1ca.pth
- - Name: ssdlite_mobilenetv2-scratch_8xb24-600e_coco
- In Collection: SSD
- Config: configs/ssd/ssdlite_mobilenetv2-scratch_8xb24-600e_coco.py
- Metadata:
- Training Memory (GB): 4.0
- inference time (ms/im):
- - value: 14.3
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (320, 320)
- Epochs: 600
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 21.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/ssd/ssdlite_mobilenetv2_scratch_600e_coco/ssdlite_mobilenetv2_scratch_600e_coco_20210629_110627-974d9307.pth
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